Mercari is an online shopping marketplace which is powered by one of the biggest community of Japan where users can sell pretty much anything.The community wants to offer price suggestions to the sellers but is a tough task as the sellers are enabled to put just about anything, or any bundle of things, on Mercari’s marketplace.
Sweater A: Vince, Long sleeve, Turtle neck pullover sweater, Black, Size L, Great condition
Sweater B: St. John's Bay Long sleeve, Turtle neck Pullover sweater, Size L, Great condition
Hence, it's harder to guess or decide what price which product should have
Product pricing gets even harder at scale, considering just how many products are sold online. Clothing has strong seasonal pricing trends and is heavily influenced by brand names, while electronics have fluctuating prices based on product specs.
Given details about a product like product category name, brand name, and item condition, our challenge is to build an algorithm that automatically suggests the right product prices
But if solved rightly, it can eliminate human interference in giving price suggestions of a product and speed up efficiency of the shopping app. That’s when Machine Learning comes to play.
The task of this Project is to build an algorithm that suggests the right product prices for shopping app from product name, user inputted text descriptions of the product, category name, brand name, item condition, and shipping information.
The goal is about creating a model that would help sellers to price their products.Pricing should be intermediate between sellers and buyers.
train_id - the id of the product
name - the name of the product
item_condition_id - the condition of the product provided by the seller
According to information available on Mercari Website
category_name - category of the product
brand_name - brand name of the product
price - the price that the product was sold for. (This is the target variable that we will predict) The unit is USD
shipping - 1 if shipping fee is paid by seller and 0 by buyer
item_description - the full description of the item
Independent variables: train_id, name, item_condition_id, category_name, brand_name, shipping, item_description
Target Variable: price
We will build various supervised machine learning regression models and see which succeeds in solving the given mapping between the input variables and the price feature in the best way. Let’s begin in a step-by-step manner
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from collections import Counter
import nltk
from nltk.corpus import stopwords
from wordcloud import WordCloud
import re
import warnings
warnings.filterwarnings('ignore') # to ignore the warnings
data = pd.read_csv('C:/Users/Rohit/Downloads/train2.csv', encoding='latin1')
# As most of the words are from Western European Language hence encoding='latin1'
# Latin-1, also called ISO-8859-1, is an 8-bit character set endorsed by the
# International Organization for Standardization (ISO) and represents the alphabets
# of Western European languages. As its name implies, it is a subset of ISO-8859,
# which includes several other related sets for writing systems like Cyrillic, Hebrew, and Arabic.
# It is used by most Unix systems as well as Windows. DOS and Mac OS, however, use their own sets.
data.head()
| train_id | name | item_condition_id | category_name | brand_name | price | shipping | item_description | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0 | Hero 77 fountain pen | 2 | Other/Office supplies/Writing | NaN | 12.0 | 1 | For sale a brand new Hero 77 fountain pen, doe... |
| 1 | 1 | 14K Yellow Gold Earrings | 3 | Women/Jewelry/Earrings | NaN | 20.0 | 0 | 14k black Onyx earrings Good condition Final sale |
| 2 | 2 | New balance 2-in 1 size S dry fit shorts | 2 | Women/Athletic Apparel/Shorts | New Balance | 10.0 | 0 | Brand new never worn, but I tore the tag off w... |
| 3 | 3 | Zella black workout tank w mesh cut out | 3 | Women/Athletic Apparel/Shirts & Tops | Zella | 15.0 | 1 | Zella black workout tank with mesh cut outs. |
| 4 | 4 | NWT Lilly Pulitzer gabby dress sz 8 | 1 | Women/Dresses/Above Knee, Mini | Lilly Pulitzer | 75.0 | 0 | New with tags!! Size 8. |
# Data Dimensions
data.shape
(148253, 8)
As the orignal data had over 1.4 million observations, we only take the 10% out of it in the csv file above
# Data Types
data.dtypes
train_id int64 name object item_condition_id int64 category_name object brand_name object price float64 shipping int64 item_description object dtype: object
# Columns in the data
data.columns
Index(['train_id', 'name', 'item_condition_id', 'category_name', 'brand_name',
'price', 'shipping', 'item_description'],
dtype='object')
# Checking the NAs in the data
data.isnull().sum()
train_id 0 name 0 item_condition_id 0 category_name 641 brand_name 62991 price 0 shipping 0 item_description 0 dtype: int64
# making a copy of the data as backup
data1 = data.copy()
for value in ['category_name']:
data1[value].fillna(value='Other', inplace=True)
# replacing by "Other" because there already exists a category by the same name
for value in ['brand_name']:
data1[value].fillna(value='Unknown', inplace=True)
# Rechecking the null values
data1.isnull().sum()
train_id 0 name 0 item_condition_id 0 category_name 0 brand_name 0 price 0 shipping 0 item_description 0 dtype: int64
data1.price.describe()
count 148253.000000 mean 26.807933 std 39.358186 min 0.000000 25% 10.000000 50% 17.000000 75% 29.000000 max 2000.000000 Name: price, dtype: float64
plt.figure(figsize=(17,5))
plt.title('Price distribution', fontsize=15)
sns.boxplot(data1.price, showfliers=False)
plt.xlabel('Price',fontsize=15)
plt.show()
Insight 1 from Price
plt.plot(figsize=(30,20))
sns.distplot(data1['price'])
<matplotlib.axes._subplots.AxesSubplot at 0x2300020b4c8>
price variable is heavily right-skewed.price variable follows a skewed distribution and in order to make errors on low price product more relevant than for higher prices, we take the log transformOur dependent variable should be normally distributed i.e. The Assumption of Normality should be satisfied
Let's compare both the graphs side by side
plt.subplot(1, 2, 1)
(data1['price']).plot.hist(bins=50, figsize=(12, 6), edgecolor = 'white', range = [0, 250])
plt.xlabel('price', fontsize=12)
plt.title('Price Distribution', fontsize=12)
plt.subplot(1, 2, 2)
np.log1p(data1['price']).plot.hist(bins=50, figsize=(12, 6), edgecolor='white')
plt.xlabel('log(price)+1', fontsize=12)
plt.title('Price Distribution', fontsize=12)
Text(0.5, 1.0, 'Price Distribution')
data1['shipping'].value_counts(normalize=True) # to show as a percentage of total values
0 0.553587 1 0.446413 Name: shipping, dtype: float64
index = ['Buyer','Seller']
values = data1['shipping'].value_counts()
plt.figure(figsize=(7,4))
plt.pie(values,startangle=90,autopct='%0.1f%%',explode=(0,0.1))
plt.legend(title = "Shipping Paid by",loc = "upper right",labels= index,fontsize=10)
plt.tight_layout()
plt.title("Analysis on Shipping Paid",fontsize=20)
Text(0.5, 1, 'Analysis on Shipping Paid')
Insight 1 from shipping:
0- 82071 times (buyer charged) 55.53%1- 66182 times(seller charged) 44.64%Suggestion to the seller:
buyer_charged = data1.loc[data1['shipping'] == 0, 'price']
seller_charged = data1.loc[data1['shipping'] == 1, 'price']
fig, ax = plt.subplots(figsize=(14, 8))
ax.hist(buyer_charged, bins=30, range=[0, 100], label='Price when buyer paid shipping', alpha=0.5, color='b')
ax.hist(seller_charged, bins=30, range=[0, 100], label='Price when seller paid shipping', alpha=0.5, color='r')
plt.title('Price Distribution by shipping type', fontsize = 20)
plt.xlabel('Log price', fontsize = 15)
plt.ylabel('No. of Items', fontsize = 15)
plt.legend(fontsize = 15)
plt.show()
Insight 2 from shipping:
Chekcing the Actual values -
# average price for shipping for seller and buyer
print('The average price is {}'.format(round(seller_charged.mean(), 2)), 'if seller pays shipping')
print('The average price is {}'.format(round(buyer_charged.mean(), 2)), 'if buyer pays shipping')
The average price is 22.82 if seller pays shipping The average price is 30.02 if buyer pays shipping
Unique Category Names
print('There are', data1['category_name'].nunique(), 'unique values in category name column')
There are 1052 unique values in category name column
Top 10 most common category names
data1['category_name'].value_counts()[:10]
Women/Athletic Apparel/Pants, Tights, Leggings 6049 Women/Tops & Blouses/T-Shirts 4686 Beauty/Makeup/Face 3429 Beauty/Makeup/Lips 3025 Electronics/Video Games & Consoles/Games 2587 Beauty/Makeup/Eyes 2560 Electronics/Cell Phones & Accessories/Cases, Covers & Skins 2464 Women/Underwear/Bras 2088 Women/Tops & Blouses/Blouse 2073 Women/Dresses/Above Knee, Mini 2029 Name: category_name, dtype: int64
General Observations from the above insights:
For ex. Beauty/Makeup/Face and Beauty/Makeup/Lips
This means Beauty category has a subcategory MakeUp and this sub category MakeUp is further divided into Face and Lips
It is also observed that Women apparel has the maximum number of items followed by any other category.
Divide category names into Main category, Sub-category 1 and Sub-category 2:
temp = data1[data1['brand_name']!='Unknown'] # remove Unknown coz it represents missing values
data1[['Main_categ','sub_categ1','sub_categ2']] = data1.category_name.str.split("/",expand = True,n= 2)
for i in ['sub_categ1','sub_categ2']:
data1[i].fillna(value = "Label not given", inplace=True)
After splitting the category_name column, the unique items that I have in each of the newly formed columns is listed below:
print('There are', data1['Main_categ'].nunique(), 'unique values in Main category')
print('There are', data1['sub_categ1'].nunique(), 'unique values in Sub-category 1')
print('There are', data1['sub_categ2'].nunique(), 'unique values in Sub-category 2')
There are 10 unique values in Main category There are 114 unique values in Sub-category 1 There are 741 unique values in Sub-category 2
Let’s find out which of the products rank the highest in terms of frequency of occurrence:
maincat_count = data1.Main_categ.value_counts()
plt.figure(figsize=(15, 10))
sns.barplot(maincat_count.index[0:11], maincat_count[0:11])
plt.title('Main category Analysis',fontsize = 20)
plt.xlabel('Main category',fontsize = 15)
plt.ylabel('Count',fontsize = 15)
plt.xticks(rotation=15, fontsize=12)
plt.show()
Insight 1 from Main Category:
Women products occur with the maximum frequency, followed by Beauty products. The 3rd largest general category is owned by Kids productstemp = data1[data1['price'] < 80]
plt.figure(figsize=(15, 10))
sns.boxplot(temp['Main_categ'], temp['price'])
plt.title('BoxPlot of Main category vs Price', fontsize = 20)
plt.xlabel('Main Category',fontsize = 15)
plt.ylabel('Price',fontsize = 15)
plt.xticks(rotation = 15, fontsize=12)
plt.show()
temp.groupby(['Main_categ'])['price'].agg('median')
Main_categ Beauty 15.0 Electronics 14.0 Handmade 11.0 Home 18.0 Kids 14.0 Men 20.0 Other 13.0 Sports & Outdoors 16.0 Vintage & Collectibles 15.0 Women 19.0 Name: price, dtype: float64
Insight 2 from Main category:
Women's category, the price of Men category products(20 dollars) is almost as expensive as the products in Women category(19 dollars)As there are 114 unique sub categories, we won't be able to plot them all, hence, first we need to seperate the top 10 Sub-categories
index = []
[index.append(key) for key, value in Counter(data1['sub_categ1']).most_common()]
top_10 = index[:10]
temp = data1[data1['sub_categ1'].isin(top_10)]
# the corresponding top 10 indexes get their corresponding names from "sub_categ1"
plt.figure(figsize=(20,10))
sns.countplot(temp['sub_categ1'])
plt.title('Sub-Category 1 Analysis',fontsize = 20)
plt.xticks(rotation = 12,wrap = True,fontsize = 15)
plt.xlabel('Top 10 Sub-Category1',fontsize = 15)
plt.ylabel('Frequency',fontsize = 15)
Text(0, 0.5, 'Frequency')
Insight 1 from Sub-category 1:
Athletic Apparel and Makeup category temp2 = temp[temp['price']<80] # box plot
plt.figure(figsize=(20,10))
sns.boxplot(temp2['sub_categ1'],temp2['price'])
plt.title('Sub-Category 1 vs Price',fontsize = 20)
plt.xticks(rotation = 10,wrap = True,fontsize = 15)
plt.xlabel('Top 10 Sub-Category 1',fontsize = 15)
plt.ylabel('Price',fontsize = 15)
Text(0, 0.5, 'Price')
temp2.groupby(['sub_categ1'])['price'].agg('median')
sub_categ1 Athletic Apparel 21.0 Cell Phones & Accessories 10.0 Dresses 20.0 Jewelry 13.0 Makeup 15.0 Shoes 26.0 Tops & Blouses 14.0 Toys 14.0 Women's Accessories 16.0 Women's Handbags 25.0 Name: price, dtype: float64
Insight 2 from Sub-category 1:
Shoes category is more expensive than Women's Handbag by 1 dollarWomen's Handbag category is more expensive thus has low frequency index = []
[index.append(key) for key, value in Counter(data1['sub_categ2']).most_common()]
top_10 = index[:10]
temp = data1[data1['sub_categ2'].isin(top_10)]
plt.figure(figsize=(20,10))
sns.countplot(temp['sub_categ2'])
plt.title('Sub-Category 2 Analysis',fontsize = 20)
plt.xticks(rotation = 7,wrap = True,fontsize = 14)
plt.xlabel('Top 10 Sub-Category 2',fontsize = 15)
plt.ylabel('Frequency',fontsize = 15)
Text(0, 0.5, 'Frequency')
Insight 1 from Sub-category 2:
Pants,Tights,Leggings are bought the highest number of timestemp2 = temp[temp['price']<80]
plt.figure(figsize=(20,10))
sns.boxplot(temp2['sub_categ2'],temp2['price'])
plt.title('Sub-Category 2 vs Price', fontsize = 20)
plt.xticks(rotation = 10,wrap = True,fontsize = 14)
plt.xlabel('Top 10 Sub-Category 2', fontsize = 15)
plt.ylabel('Price', fontsize = 15)
Text(0, 0.5, 'Price')
temp2.groupby(['sub_categ2'])['price'].agg('median')
sub_categ2 Athletic 36.0 Cases, Covers & Skins 10.0 Eyes 12.0 Face 15.0 Games 15.0 Lips 14.0 Other 15.0 Pants, Tights, Leggings 28.0 Shoes 18.0 T-Shirts 15.0 Name: price, dtype: float64
Insight 2 from Sub-Category 2:
Athletic category are bought moderately as they are expensivePants,Tights,Leggings category are bought more as moderately expensiveprint('There are', data1['brand_name'].nunique(), 'unique values in brand name column')
There are 2321 unique values in brand name column
As there are 2321 unique brand names, we lookout only for products purchased from the top 10 frequently occuring brands
index = []
[index.append(key) for key, value in Counter(data1['brand_name']).most_common()]
top_10 = index[:10]
temp = data1[data1['brand_name'].isin(top_10)]
plt.figure(figsize=(20,20))
plt.subplot(2,1,1)
sns.countplot(temp['brand_name'])
plt.title('Brand wise Analysis (with Unknown)', fontsize = 25)
plt.xticks(rotation = 0,wrap = True,fontsize = 14)
plt.xlabel('Brand Name',fontsize = 0)
plt.ylabel('Frequency', fontsize = 20)
temp = data1[data1['brand_name']!='Unknown']
index = []
[index.append(key) for key, value in Counter(temp['brand_name']).most_common()]
top_10 = index[:10]
temp2 = temp[temp['brand_name'].isin(top_10)]
plt.subplot(2,1,2)
# plt.figure(figsize=(40,20))
sns.countplot(temp2['brand_name'])
plt.title('Brand wise Analysis (without Unknown)', fontsize = 25)
plt.xticks(rotation = 0,wrap = True,fontsize = 14)
plt.xlabel('Brand Name',fontsize = 20)
plt.ylabel('Frequency',fontsize = 20)
plt.show()
Insight 1 from Brand name:
Unknown as it represents our missing valuesUnknownPink, Nike, and Victoria's Secret are top 3 most purchased brandsPink and Victoria's Secret brand products are mostly bought from Women main category more frequentlytemp3 = temp2[temp2['price']<80]
plt.figure(figsize=(20,10))
sns.boxplot(temp3['brand_name'],temp3['price'])
plt.title("Top 10 brand wise Analysis (According to price)",fontsize=20)
plt.xlabel("Brand Name",fontsize=15)
plt.ylabel("Price",fontsize=15)
plt.xticks(rotation = 0,wrap = True,fontsize = 15)
(array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), <a list of 10 Text xticklabel objects>)
temp3.groupby(['brand_name'])['price'].agg('median')
brand_name American Eagle 14.0 Apple 15.0 FOREVER 21 12.0 LuLaRoe 29.0 Lululemon 35.0 Michael Kors 36.0 Nike 21.0 Nintendo 19.0 PINK 20.0 Victoria's Secret 19.0 Name: price, dtype: float64
Insight 2 from Brand name:
Michael Kors products cost high hence less boughtLululemon has the 2nd highest median price Pink, Nike and Victoria's Secret products have moderate pricing hence are more frequently boughtFirst we create a function to return us a count of words from each Description
def length(description):
count = 0
for i in description.split():
count+=1
return count
Then we create a series which has the description and the length of description in words
lol=[]
for i in data1['item_description']:
temp=[]
temp.append(i)
temp.append(length(str(i)))
lol.append(temp)
Printing first three rows to check the string and the number of words in the string match or not
print(lol[0:3])
[['For sale a brand new Hero 77 fountain pen, does not include the ink.', 14], ['14k black Onyx earrings Good condition Final sale', 8], ['Brand new never worn, but I tore the tag off when I tried them on. Double layer spandex shorts to keep you dry and covered!', 25]]
Making a new dataframe of the series we created - lol
mydf = pd.DataFrame(lol, columns=['Description', 'Description_length'])
print(mydf.head(2))
Description Description_length 0 For sale a brand new Hero 77 fountain pen, doe... 14 1 14k black Onyx earrings Good condition Final sale 8
Adding only 2nd coloumn Description_length from mydf to data1
data1['Description_length'] = mydf['Description_length']
plt.figure(figsize=(10,5))
sns.scatterplot(x=data1.Description_length, y=data1.Description_length.value_counts())
plt.title('Scatter-plot of description length',fontsize=20)
plt.xlabel("Description Lenght in words",fontsize=15)
plt.ylabel("Frequency",fontsize=15)
Text(0, 0.5, 'Frequency')
Insight 1 from Item Description:
temp4=data1[data1['Description_length']<500]
plt.figure(figsize=(15,5))
sns.scatterplot(x=temp4['Description_length'], y=data1.price)
plt.title('Description length vs Price',fontsize=20)
plt.xlabel("Description Lenght in words",fontsize=15)
plt.ylabel("Price",fontsize=15)
Text(0, 0.5, 'Price')
Insight 2 from Item Description:
Let us check what length of item description occurs the most
desc_len_count = data1.Description_length.value_counts()
print(desc_len_count[0:3])
3 12346 6 5503 7 5423 Name: Description_length, dtype: int64
plt.figure(figsize=(20, 10))
sns.barplot(desc_len_count.index[0:11], desc_len_count[0:11])
plt.title('Item Description having most frequent number of words',fontsize=20)
plt.xticks(rotation = 0,wrap = True,fontsize = 15)
plt.xlabel('Number of words',fontsize=15)
plt.ylabel('Frequency',fontsize=15)
plt.show()
Insight 3 from Item Description:
Most of the time, the first steps of an NLP project is to "tokenize" your documents, which main purpose is to normalize our texts. The three fundamental stages will usually include:
To check frequently occuring most important words in the description
from nltk.corpus import stopwords
stopwords = set(stopwords.words("english"))
from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
from PIL import Image
# checking length of stop words
len(stopwords)
from string import punctuation
punctuation = list(punctuation)
stopwords.update(punctuation)
# adding punctuation to stopwords
# wordcloud for Item Description variable with 500 most occuring words
doc1 = []
for i in range(0,data1.shape[0]):
text = str(data1["item_description"][i])
text = text.lower()
text = re.sub("[^a-zA-Z]", " ", text)
text = nltk.word_tokenize(text)
text = [lemmatizer.lemmatize(word) for word in text if word not in stopwords and len(word)>2]
text = " ".join(text)
doc1.append(text)
# join string
doc2 = "".join(doc1)
# wordcloud visualization
img = np.array(Image.open("C:/Users/Rohit/Downloads/cmt.png"))
wordcloud = WordCloud(width=1000,height= 500,relative_scaling=1.0,mask=img,max_words=1000,
background_color='white',
stopwords=stopwords,
min_font_size=10).generate(doc2)
plt.figure(figsize=(15,10), facecolor=None)
plt.imshow(wordcloud)
plt.axis("off")
plt.show()
from nltk.corpus import stopwords
from PIL import Image
stp=set(stopwords.words('english'))
j=0
plt.figure(figsize=(8,10))
for i in data1["Main_categ"].value_counts().index[:6]:
text = data1.loc[data1["Main_categ"] == str(i)]["item_description"]
# text = data1.loc[data1['main_category']==str(i)]
# text = text['item_description']
text = "".join(text)
mask = np.array(Image.open('C:/Users/Rohit/Downloads/'+str(i)+'.png'))
wordcloud = WordCloud(width=2000, height=1500, relative_scaling=1.0, max_words=100, mask=mask,
background_color='white',
stopwords=stp,
min_font_size=10,).generate(text)
# With relative_scaling=1, a word that is twice as frequent will have twice the size.
# If you want to consider the word frequencies and not only their rank, relative_scaling around .5 often looks good.
# If ‘auto’ it will be set to 0.5 unless repeat is true, in which case it will be set to 0.
# plot the WordCloud image
if j < 6:
j = j + 1
plt.subplot(3,2,j)
plt.imshow(wordcloud)
plt.axis("off")
plt.show()
tf-idf is the acronym for Term Frequency–inverse Document Frequency. It quantifies the importance of a particular word in relative to the vocabulary of a collection of documents or corpus. The metric depends on two factors:
Term Frequency: the occurences of a word in a given document (i.e. bag of words) Inverse Document Frequency: the reciprocal number of times a word occurs in a corpus of documents Think about of it this way: If the word is used extensively in all documents, its existence within a specific document will not be able to provide us much specific information about the document itself. So the second term could be seen as a penalty term that penalizes common words such as "a", "the", "and", etc. tf-idf can therefore, be seen as a weighting scheme for words relevancy in a specific document.
data2=data1.copy()
from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
from nltk.corpus import stopwords
stp=set(stopwords.words('english'))
def tokenize(text):
text = str(text)
text = text.lower()
text = re.sub("[^a-zA-Z]", " ", text)
text = nltk.word_tokenize(text)
text = [lemmatizer.lemmatize(word) for word in text if word not in stp and len(word) > 2]
return text
data2['tokens'] = data2['item_description'].map(tokenize)
from sklearn.feature_extraction.text import TfidfVectorizer
vectorizer = TfidfVectorizer(min_df=10,
max_features=180000,
tokenizer=tokenize,
)
data3 = data2.sample(n=15000)
vz = vectorizer.fit_transform(list(data3['item_description']))
df_idf = pd.DataFrame(vectorizer.idf_, index=vectorizer.get_feature_names(),columns=["tfidf"])
# Given the high dimension of our tfidf matrix, we need to reduce their dimension using the
# Singular Value Decomposition (SVD) technique. And to visualize our vocabulary, we could next use t-SNE to
# reduce the dimension from 50 to 2. t-SNE is more suitable for dimensionality reduction to 2 or 3.
from sklearn.decomposition import TruncatedSVD
n_comp=30
svd = TruncatedSVD(n_components=n_comp, random_state=0)
svd_tfidf = svd.fit_transform(vz)
from sklearn.manifold import TSNE
tsne_model = TSNE(n_components=2, random_state=0, n_iter=1000,perplexity=75)
tsne_tfidf= tsne_model.fit_transform(svd_tfidf)
from sklearn.decomposition import TruncatedSVD
n_comp=30
svd = TruncatedSVD(n_components=n_comp, random_state=0)
svd_tfidf = svd.fit_transform(vz)
from sklearn.manifold import TSNE
tsne_model = TSNE(n_components=2, random_state=0, n_iter=1000,perplexity=75)
tsne_tfidf= tsne_model.fit_transform(svd_tfidf)
from sklearn.cluster import KMeans
tfidf_df = pd.DataFrame(tsne_tfidf, columns=['x', 'y'])
temp = tfidf_df.copy()
model_kmeans = KMeans(n_clusters=10,random_state=10).fit(tfidf_df)
temp['description'] = data2['item_description']
temp['tokens'] = data2['tokens']
temp['category'] = data2['Main_categ']
temp['cluster'] = model_kmeans.predict(tfidf_df)
from bokeh.plotting import figure,show
from bokeh.io import output_file, output_notebook
from bokeh.transform import linear_cmap
from bokeh.palettes import Category10
from bokeh.resources import INLINE
import bokeh.io
bokeh.io.output_notebook(INLINE)
temp.to_csv("C:/Users/Rohit/Downloads/tfidf_tsne.csv")
sample = pd.read_csv("C:/Users/Rohit/Downloads/tfidf_tsne.csv")
tooltip = [("Description","@description"),
("Tokens","@tokens"),
("Category","@category"),
("Cluster","@cluster")
]
mapper = linear_cmap(field_name='cluster', palette=Category10[10],low=0,high=9)
#output_notebook()
p= figure(plot_width=900, plot_height=900,
title="K-Means clustering of the item description",
tools="pan,wheel_zoom,box_zoom,reset,hover",
tooltips = tooltip)
p.scatter("x","y",source = sample, alpha=0.7,color = mapper)
output_file("output_file_name.html")
output_notebook()
# from IPython.display import IFrame
# IFrame(src='output_file_name.html', width=900, height=900)
show(p)
plt.figure(figsize=(15, 10))
sns.boxplot(x=data1['item_condition_id'], y=np.log1p(data1.price))
plt.title('Box Plot of item condition id VS Product price',fontsize=20)
plt.xlabel('Item Condition ID',fontsize=15)
plt.ylabel('log(price+1)',fontsize=15)
plt.show()
data1.groupby(['item_condition_id'])['price'].agg('median')
item_condition_id 1 18.0 2 18.0 3 16.0 4 15.0 5 19.0 Name: price, dtype: float64
Insight 1 from Item Condition:
from collections import Counter
index = []
[index.append(key) for key, value in Counter(data1['Main_categ']).most_common()]
f,axes = plt.subplots(5, 2, figsize=(15, 30))
for i in range(data1['Main_categ'].nunique()):
sns.countplot(data1[data1['Main_categ'] == index[i]]['item_condition_id'], ax = axes[int(i/2)][i%2])
axes[int(i / 2)][i % 2].set_title(index[i],fontsize=15)
axes[int(i / 2)][i % 2].set_xlabel('Item Condition ID')
axes[int(i / 2)][i % 2].set_ylabel('Frequency')
Insight 2 for Item Condition:
Women, Kids, Men and Vintage categoryBeauty and Handmade categories have too many Item condition id as 1 as compared to other Item Condition IDElectronics categoryfrom collections import Counter
temp=data1[data1['brand_name']!='Unknown']
index = []
[index.append(key) for key, value in Counter(temp['brand_name']).most_common()]
top_10 = index[:10]
temp2 = temp[temp['brand_name'].isin(top_10)]
f,axes = plt.subplots(5, 2, figsize=(15, 30))
for i in range(temp2['brand_name'].nunique()):
sns.countplot(temp2[temp2['brand_name'] == index[i]]['item_condition_id'], ax = axes[int(i/2)][i%2])
axes[int(i / 2)][i % 2].set_title(index[i],fontsize=15)
axes[int(i / 2)][i % 2].set_xlabel('Item Condition ID')
axes[int(i / 2)][i % 2].set_ylabel('Frequency')
Insight 3 from Item Condition ID:
Pink, Nike and Michael Kors have more number of New(1) to Good(3) condition items as compared to other brandsAmerican Eagle doesn't have a single product of poor quality(5)Apple has the most number of poor quality(5) productsComing to our actual problem, we will be now applying machine learing models to give us a price that we should suggest to the seller. As discussed earlier, this is a regression problem, so we will be applying some regressions models based on our data and other factors that we will face during solving.
As we know that nothing is free in this world so we can say that price of data being zero is not possible. We observed that there are some rows which have price as 0. Hence we remove those rows
data2 = data1.loc[data1['price'] > 0]
Seperating dependent and independent variables
feature_cols = ['item_condition_id', 'category_name', 'brand_name', 'shipping']
x = data2[feature_cols] # Independent variables
y = np.log(data2['price']) # Dependent variable
Performing One hot encoding on categorical variables
cat_name = pd.get_dummies(data2["category_name"], drop_first=True) # drop_first=True means dropping the redundant column
brd_name = pd.get_dummies(data2["brand_name"], drop_first=True)
# removing the categorical columns
x.drop(['category_name', 'brand_name'], axis=1, inplace=True)
x1 = pd.concat([x, cat_name, brd_name], axis=1)
Spliting the data into train and test to validate the model
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x1, y, test_size=0.3, random_state=10)
from statsmodels.api import OLS
regr = OLS(y_train, x_train)
result = regr.fit()
print("Summary of OLS Model:-")
print(result.summary())
Summary of OLS Model:-
C:\Users\sragh\Anaconda3\lib\site-packages\statsmodels\base\model.py:1362: RuntimeWarning: invalid value encountered in true_divide return self.params / self.bse C:\Users\sragh\Anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py:903: RuntimeWarning: invalid value encountered in greater return (a < x) & (x < b) C:\Users\sragh\Anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py:903: RuntimeWarning: invalid value encountered in less return (a < x) & (x < b) C:\Users\sragh\Anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py:1912: RuntimeWarning: invalid value encountered in less_equal cond2 = cond0 & (x <= _a)
OLS Regression Results
=======================================================================================
Dep. Variable: price R-squared (uncentered): 0.961
Model: OLS Adj. R-squared (uncentered): 0.960
Method: Least Squares F-statistic: 818.2
Date: Sat, 13 Jun 2020 Prob (F-statistic): 0.00
Time: 22:54:54 Log-Likelihood: -93904.
No. Observations: 103718 AIC: 1.938e+05
Df Residuals: 100707 BIC: 2.226e+05
Df Model: 3011
Covariance Type: nonrobust
=====================================================================================================================================
coef std err t P>|t| [0.025 0.975]
-------------------------------------------------------------------------------------------------------------------------------------
item_condition_id -0.1321 0.002 -54.249 0.000 -0.137 -0.127
shipping -0.2622 0.004 -63.822 0.000 -0.270 -0.254
Beauty/Bath & Body/Bathing Accessories 0.1779 0.121 1.465 0.143 -0.060 0.416
Beauty/Bath & Body/Cleansers -0.3311 0.088 -3.771 0.000 -0.503 -0.159
Beauty/Bath & Body/Other -0.1160 0.178 -0.650 0.515 -0.465 0.233
Beauty/Bath & Body/Scrubs & Body Treatments 0.3723 0.093 3.994 0.000 0.190 0.555
Beauty/Bath & Body/Sets 0.4129 0.094 4.386 0.000 0.228 0.597
Beauty/Fragrance/Candles & Home Scents 0.2332 0.052 4.470 0.000 0.131 0.335
Beauty/Fragrance/Kids -0.5552 0.195 -2.850 0.004 -0.937 -0.173
Beauty/Fragrance/Men 0.4068 0.060 6.732 0.000 0.288 0.525
Beauty/Fragrance/Other -3.523e-14 8.65e-15 -4.074 0.000 -5.22e-14 -1.83e-14
Beauty/Fragrance/Sets 0.2191 0.108 2.029 0.042 0.007 0.431
Beauty/Fragrance/Women 0.2017 0.037 5.485 0.000 0.130 0.274
Beauty/Hair Care/Conditioners 0.2958 0.107 2.777 0.005 0.087 0.505
Beauty/Hair Care/Hair & Scalp Treatments 0.0676 0.071 0.948 0.343 -0.072 0.207
Beauty/Hair Care/Hair Color -0.1300 0.103 -1.257 0.209 -0.333 0.073
Beauty/Hair Care/Hair Loss Products 0.2184 0.232 0.942 0.346 -0.236 0.673
Beauty/Hair Care/Hair Perms & Texturizers -0.2395 0.608 -0.394 0.694 -1.431 0.952
Beauty/Hair Care/Hair Relaxers -0.9328 0.608 -1.534 0.125 -2.125 0.259
Beauty/Hair Care/Other 0.1688 0.250 0.675 0.500 -0.321 0.659
Beauty/Hair Care/Shampoo & Conditioner Sets 0.3771 0.066 5.689 0.000 0.247 0.507
Beauty/Hair Care/Shampoo Plus Conditioner 0.6965 0.326 2.135 0.033 0.057 1.336
Beauty/Hair Care/Shampoos 0.0319 0.115 0.276 0.782 -0.194 0.258
Beauty/Hair Care/Styling Products 0.0014 0.054 0.027 0.979 -0.104 0.106
Beauty/Hair Care/Styling Tools 0.3904 0.128 3.046 0.002 0.139 0.642
Beauty/Makeup/Body -0.3869 0.094 -4.126 0.000 -0.571 -0.203
Beauty/Makeup/Brushes & Applicators -0.2711 0.055 -4.943 0.000 -0.379 -0.164
Beauty/Makeup/Eyes -0.1389 0.036 -3.820 0.000 -0.210 -0.068
Beauty/Makeup/Face 0.0421 0.036 1.166 0.244 -0.029 0.113
Beauty/Makeup/Lips -0.0713 0.036 -1.963 0.050 -0.142 -0.000
Beauty/Makeup/Makeup Palettes 0.3112 0.038 8.186 0.000 0.237 0.386
Beauty/Makeup/Makeup Remover -0.0096 0.127 -0.076 0.940 -0.259 0.239
Beauty/Makeup/Makeup Sets 0.2341 0.044 5.366 0.000 0.149 0.320
Beauty/Makeup/Nails -0.2037 0.045 -4.556 0.000 -0.291 -0.116
Beauty/Makeup/Other 0.1793 0.218 0.823 0.410 -0.247 0.606
Beauty/Other/Other 0.0609 0.125 0.488 0.626 -0.184 0.306
Beauty/Skin Care/Body 0.0276 0.040 0.692 0.489 -0.050 0.106
Beauty/Skin Care/Eyes 0.1455 0.087 1.673 0.094 -0.025 0.316
Beauty/Skin Care/Face 0.0727 0.038 1.913 0.056 -0.002 0.147
Beauty/Skin Care/Feet -0.0242 0.114 -0.212 0.832 -0.248 0.200
Beauty/Skin Care/Hands & Nails -0.2816 0.106 -2.644 0.008 -0.490 -0.073
Beauty/Skin Care/Lips -0.2192 0.095 -2.308 0.021 -0.405 -0.033
Beauty/Skin Care/Maternity -0.4752 0.608 -0.781 0.435 -1.667 0.717
Beauty/Skin Care/Other -0.0715 0.232 -0.308 0.758 -0.526 0.383
Beauty/Skin Care/Sets & Kits -0.0236 0.250 -0.094 0.925 -0.514 0.467
Beauty/Skin Care/Sun 0.2190 0.082 2.666 0.008 0.058 0.380
Beauty/Tools & Accessories/Bags & Cases -0.0601 0.101 -0.595 0.552 -0.258 0.138
Beauty/Tools & Accessories/Bathing Accessories -0.5963 0.608 -0.981 0.327 -1.788 0.596
Beauty/Tools & Accessories/Cotton & Swabs -3.219e-13 1.03e-14 -31.132 0.000 -3.42e-13 -3.02e-13
Beauty/Tools & Accessories/Epilators -0.3164 0.305 -1.036 0.300 -0.915 0.282
Beauty/Tools & Accessories/Hair Styling Tools 0.5462 0.052 10.493 0.000 0.444 0.648
Beauty/Tools & Accessories/Makeup Brushes & Tools -0.0942 0.043 -2.201 0.028 -0.178 -0.010
Beauty/Tools & Accessories/Mirrors 0.3483 0.129 2.696 0.007 0.095 0.601
Beauty/Tools & Accessories/Nail Tools -0.1049 0.109 -0.959 0.337 -0.319 0.109
Beauty/Tools & Accessories/Other 0.0785 0.172 0.458 0.647 -0.258 0.415
Beauty/Tools & Accessories/Toiletry Kits 1.0457 0.608 1.720 0.086 -0.146 2.238
Beauty/Tools & Accessories/Tweezers -0.4451 0.274 -1.627 0.104 -0.981 0.091
Beauty/Tools & Accessories/Waxing 0.0321 0.147 0.219 0.827 -0.256 0.320
Electronics/Cameras & Photography/Binoculars & Telescopes -0.0388 0.352 -0.110 0.912 -0.729 0.651
Electronics/Cameras & Photography/Camcorders 1.1609 0.241 4.821 0.000 0.689 1.633
Electronics/Cameras & Photography/Camera & Photo Accessories 0.6773 0.088 7.692 0.000 0.505 0.850
Electronics/Cameras & Photography/Digital Cameras 1.2615 0.089 14.154 0.000 1.087 1.436
Electronics/Cameras & Photography/Film Photography 0.7793 0.111 7.012 0.000 0.561 0.997
Electronics/Cameras & Photography/Flashes & Flash Accessories 0.9315 0.431 2.163 0.031 0.087 1.776
Electronics/Cameras & Photography/Lenses & Filters 0.7293 0.183 3.978 0.000 0.370 1.089
Electronics/Cameras & Photography/Lighting & Studio 0.5097 0.352 1.448 0.148 -0.180 1.200
Electronics/Cameras & Photography/Other -0.4860 0.618 -0.786 0.432 -1.697 0.725
Electronics/Cameras & Photography/Tripods & Supports -0.1231 0.173 -0.711 0.477 -0.463 0.216
Electronics/Car Audio, Video & GPS/Car Security & Convenience 0.9091 0.608 1.495 0.135 -0.283 2.101
Electronics/Car Audio, Video & GPS/Car Speakers & Systems -1.37e-13 7.5e-15 -18.271 0.000 -1.52e-13 -1.22e-13
Electronics/Car Audio, Video & GPS/Car Stereos & Components 0.5683 0.459 1.237 0.216 -0.332 1.469
Electronics/Car Audio, Video & GPS/Car Subwoofers 1.6341 0.608 2.687 0.007 0.442 2.826
Electronics/Car Audio, Video & GPS/Car Video 0.8774 0.352 2.492 0.013 0.187 1.568
Electronics/Car Audio, Video & GPS/GPS Accessories & Mounts -0.6066 0.431 -1.409 0.159 -1.451 0.237
Electronics/Car Audio, Video & GPS/GPS Units & Equipment 0.7512 0.214 3.511 0.000 0.332 1.170
Electronics/Car Audio, Video & GPS/Other -3.28e-13 1.15e-14 -28.602 0.000 -3.5e-13 -3.06e-13
Electronics/Car Audio, Video & GPS/Other Accessories -0.3678 0.352 -1.044 0.296 -1.058 0.322
Electronics/Cell Phones & Accessories/Batteries -0.1393 0.176 -0.792 0.428 -0.484 0.205
Electronics/Cell Phones & Accessories/Cables & Adapters -0.4552 0.052 -8.711 0.000 -0.558 -0.353
Electronics/Cell Phones & Accessories/Cases, Covers & Skins -0.3007 0.036 -8.272 0.000 -0.372 -0.229
Electronics/Cell Phones & Accessories/Cell Phone Accessories -0.1960 0.041 -4.753 0.000 -0.277 -0.115
Electronics/Cell Phones & Accessories/Cell Phones & Smartphones 1.2770 0.044 29.118 0.000 1.191 1.363
Electronics/Cell Phones & Accessories/Chargers & Cradles -0.3014 0.059 -5.071 0.000 -0.418 -0.185
Electronics/Cell Phones & Accessories/Headsets 0.0370 0.063 0.584 0.559 -0.087 0.161
Electronics/Cell Phones & Accessories/Other 0.5748 0.218 2.639 0.008 0.148 1.002
Electronics/Cell Phones & Accessories/Screen Protectors -0.6831 0.063 -10.901 0.000 -0.806 -0.560
Electronics/Computers & Tablets/Components & Parts 0.5638 0.083 6.783 0.000 0.401 0.727
Electronics/Computers & Tablets/Desktops & All-In-Ones 1.5344 0.210 7.304 0.000 1.123 1.946
Electronics/Computers & Tablets/Drives, Storage & Media 0.2341 0.118 1.983 0.047 0.003 0.465
Electronics/Computers & Tablets/Laptops & Netbooks 1.6285 0.069 23.653 0.000 1.494 1.763
Electronics/Computers & Tablets/Networking & Connectivity 0.5507 0.190 2.894 0.004 0.178 0.924
Electronics/Computers & Tablets/Other 0.1683 0.178 0.943 0.346 -0.182 0.518
Electronics/Computers & Tablets/Printers, Scanners & Supplies 0.4378 0.131 3.352 0.001 0.182 0.694
Electronics/Computers & Tablets/iPad/Tablet/eBook Access 0.6712 0.073 9.160 0.000 0.528 0.815
Electronics/Computers & Tablets/iPad/Tablet/eBook Readers 1.0713 0.067 15.903 0.000 0.939 1.203
Electronics/Media/Blu-Ray 0.1693 0.063 2.709 0.007 0.047 0.292
Electronics/Media/CD -0.0086 0.067 -0.130 0.897 -0.139 0.122
Electronics/Media/DVD -0.0482 0.042 -1.147 0.251 -0.131 0.034
Electronics/Media/Other 0.1933 0.205 0.943 0.346 -0.209 0.595
Electronics/Media/VHS -0.0411 0.134 -0.308 0.758 -0.303 0.221
Electronics/Other/Other 0.7726 0.091 8.478 0.000 0.594 0.951
Electronics/TV, Audio & Surveillance/DVD & Blu-ray Players 0.5200 0.173 3.011 0.003 0.182 0.859
Electronics/TV, Audio & Surveillance/Gadgets 0.9520 0.083 11.513 0.000 0.790 1.114
Electronics/TV, Audio & Surveillance/Headphones -0.0835 0.054 -1.539 0.124 -0.190 0.023
Electronics/TV, Audio & Surveillance/Home Audio 0.3805 0.330 1.153 0.249 -0.267 1.028
Electronics/TV, Audio & Surveillance/Home Speakers & Subwoofers 0.1478 0.158 0.937 0.349 -0.161 0.457
Electronics/TV, Audio & Surveillance/Home Surveillance 0.7674 0.168 4.555 0.000 0.437 1.098
Electronics/TV, Audio & Surveillance/Other 1.1260 0.309 3.648 0.000 0.521 1.731
Electronics/TV, Audio & Surveillance/Portable Audio & Accessories 0.4522 0.065 6.918 0.000 0.324 0.580
Electronics/TV, Audio & Surveillance/Televisions 0.8169 0.122 6.703 0.000 0.578 1.056
Electronics/Video Games & Consoles/Accessories 0.2771 0.054 5.122 0.000 0.171 0.383
Electronics/Video Games & Consoles/Consoles 1.5242 0.054 28.046 0.000 1.418 1.631
Electronics/Video Games & Consoles/Games 0.2594 0.041 6.370 0.000 0.180 0.339
Electronics/Video Games & Consoles/Other 1.1868 0.609 1.948 0.051 -0.007 2.381
Electronics/Video Games & Consoles/Replacement Parts & Tools -0.1443 0.608 -0.237 0.812 -1.336 1.048
Electronics/Video Games & Consoles/Strategy Guides 0.0521 0.305 0.171 0.865 -0.546 0.651
Electronics/Video Games & Consoles/Video Gaming Merchandise 0.3636 0.078 4.670 0.000 0.211 0.516
Handmade/Accessories/Apron -0.8211 0.431 -1.907 0.057 -1.665 0.023
Handmade/Accessories/Charm -0.1499 0.103 -1.461 0.144 -0.351 0.051
Handmade/Accessories/Cuff -1.414e-13 7.82e-15 -18.076 0.000 -1.57e-13 -1.26e-13
Handmade/Accessories/Eyewear 1.056e-14 7.98e-15 1.324 0.186 -5.08e-15 2.62e-14
Handmade/Accessories/Gloves -0.1671 0.155 -1.076 0.282 -0.471 0.137
Handmade/Accessories/Hair 0.9122 0.073 12.521 0.000 0.769 1.055
Handmade/Accessories/Hat -0.1357 0.431 -0.315 0.753 -0.980 0.708
Handmade/Accessories/Keychain -0.4793 0.105 -4.563 0.000 -0.685 -0.273
Handmade/Accessories/Lanyard -0.2184 0.069 -3.166 0.002 -0.354 -0.083
Handmade/Accessories/Leg Warmers -0.2349 0.195 -1.206 0.228 -0.617 0.147
Handmade/Accessories/Men 0.3987 0.186 2.144 0.032 0.034 0.763
Handmade/Accessories/Other 0.3919 0.352 1.113 0.266 -0.298 1.082
Handmade/Accessories/Patch -0.9234 0.089 -10.389 0.000 -1.098 -0.749
Handmade/Accessories/Pin -0.6131 0.151 -4.064 0.000 -0.909 -0.317
Handmade/Accessories/Pinback Button -0.6674 0.128 -5.206 0.000 -0.919 -0.416
Handmade/Accessories/Scarf -0.3502 0.431 -0.813 0.416 -1.194 0.494
Handmade/Accessories/Wallet -0.8585 0.608 -1.412 0.158 -2.050 0.333
Handmade/Accessories/Women -0.7598 0.352 -2.158 0.031 -1.450 -0.070
Handmade/Art/Collages -0.3431 0.608 -0.564 0.573 -1.535 0.849
Handmade/Art/Drawings -0.5666 0.431 -1.316 0.188 -1.411 0.277
Handmade/Art/Illustration -0.1097 0.431 -0.255 0.799 -0.954 0.734
Handmade/Art/Other -0.2949 0.155 -1.899 0.058 -0.599 0.009
Handmade/Art/Painting 0.0167 0.151 0.111 0.912 -0.279 0.312
Handmade/Art/Photography 4.922e-14 7.49e-15 6.571 0.000 3.45e-14 6.39e-14
Handmade/Art/Print -0.4266 0.232 -1.840 0.066 -0.881 0.028
Handmade/Art/Printmaking -0.2762 0.352 -0.784 0.433 -0.966 0.414
Handmade/Art/Sculptures -0.4945 0.352 -1.404 0.160 -1.185 0.196
Handmade/Bags and Purses/Backpack 0.2299 0.161 1.428 0.153 -0.086 0.546
Handmade/Bags and Purses/Clutch 1.162e-13 6.03e-15 19.264 0.000 1.04e-13 1.28e-13
Handmade/Bags and Purses/Hip Bag 0.1112 0.217 0.512 0.609 -0.314 0.537
Handmade/Bags and Purses/Laptop 1.1452 0.608 1.883 0.060 -0.047 2.337
Handmade/Bags and Purses/Novelty 0.3385 0.610 0.555 0.579 -0.856 1.533
Handmade/Bags and Purses/Pouch 0.5031 0.305 1.647 0.099 -0.095 1.102
Handmade/Bags and Purses/Purse 1.0392 0.068 15.338 0.000 0.906 1.172
Handmade/Bags and Purses/Tote 0.4978 0.121 4.102 0.000 0.260 0.736
Handmade/Bags and Purses/Wallet 0.1198 0.608 0.197 0.844 -1.072 1.312
Handmade/Bags and Purses/Wristlet 0.4949 0.082 6.025 0.000 0.334 0.656
Handmade/Books and Zines/Book -0.4609 0.608 -0.758 0.449 -1.653 0.731
Handmade/Books and Zines/Bookmark 0.1665 0.611 0.272 0.785 -1.031 1.365
Handmade/Books and Zines/Journal -0.5580 0.352 -1.585 0.113 -1.248 0.132
Handmade/Candles/Other 0.3103 0.250 1.241 0.215 -0.180 0.800
Handmade/Candles/Stationery -6.386e-14 7.02e-15 -9.096 0.000 -7.76e-14 -5.01e-14
Handmade/Ceramics and Pottery/Home Decor 0.1862 0.431 0.433 0.665 -0.658 1.030
Handmade/Ceramics and Pottery/Kitchen 1.3227 0.608 2.175 0.030 0.131 2.515
Handmade/Ceramics and Pottery/Other -0.6072 0.608 -0.999 0.318 -1.799 0.585
Handmade/Children/Accessories -0.6686 0.608 -1.099 0.272 -1.861 0.523
Handmade/Children/Art -0.8267 0.274 -3.023 0.003 -1.363 -0.291
Handmade/Children/Baby 0.2578 0.119 2.160 0.031 0.024 0.492
Handmade/Children/Clothing 0.4789 0.431 1.112 0.266 -0.365 1.323
Handmade/Children/Other 0.5967 0.608 0.981 0.326 -0.595 1.789
Handmade/Children/Toy -0.5550 0.084 -6.580 0.000 -0.720 -0.390
Handmade/Clothing/Children -0.4628 0.608 -0.761 0.447 -1.655 0.729
Handmade/Clothing/Corset 0.2857 0.098 2.910 0.004 0.093 0.478
Handmade/Clothing/Costume 0.2450 0.060 4.114 0.000 0.128 0.362
Handmade/Clothing/Lingerie 0.1457 0.054 2.708 0.007 0.040 0.251
Handmade/Clothing/Other 0.7159 0.608 1.177 0.239 -0.476 1.908
Handmade/Clothing/Shirt 0.2820 0.274 1.031 0.303 -0.254 0.818
Handmade/Clothing/Tshirt -0.0886 0.431 -0.206 0.837 -0.933 0.755
Handmade/Clothing/Women 0.6445 0.431 1.497 0.134 -0.200 1.489
Handmade/Crochet/Accessories -0.9328 0.608 -1.534 0.125 -2.125 0.259
Handmade/Crochet/Afghan 7.982e-14 6.6e-15 12.089 0.000 6.69e-14 9.28e-14
Handmade/Crochet/Bags and Purses -0.4628 0.608 -0.761 0.447 -1.655 0.729
Handmade/Crochet/Clothing 0.5256 0.431 1.220 0.222 -0.318 1.370
Handmade/Crochet/Doll 6.708e-14 7.91e-15 8.482 0.000 5.16e-14 8.26e-14
Handmade/Crochet/Hat 0.4490 0.352 1.275 0.202 -0.241 1.139
Handmade/Crochet/Housewares -9.509e-15 7.48e-15 -1.272 0.204 -2.42e-14 5.15e-15
Handmade/Crochet/Supplies 0.5255 0.274 1.921 0.055 -0.011 1.062
Handmade/Dolls and Miniatures/Animals -0.4863 0.608 -0.800 0.424 -1.678 0.706
Handmade/Dolls and Miniatures/Art Doll 1.454e-14 6e-15 2.423 0.015 2.78e-15 2.63e-14
Handmade/Dolls and Miniatures/Fashion Dolls Apparel 3.299e-14 7.82e-15 4.218 0.000 1.77e-14 4.83e-14
Handmade/Dolls and Miniatures/Human Figure Doll -0.3196 0.608 -0.525 0.599 -1.511 0.872
Handmade/Dolls and Miniatures/Miniature 1.1955 0.608 1.966 0.049 0.004 2.387
Handmade/Dolls and Miniatures/Scale Dollhouse Miniature -0.3698 0.608 -0.608 0.543 -1.562 0.822
Handmade/Dolls and Miniatures/Scale Models 0.1002 0.608 0.165 0.869 -1.092 1.292
Handmade/Furniture/Other -0.2395 0.608 -0.394 0.694 -1.431 0.952
Handmade/Geekery/Accessory 0.9235 0.608 1.519 0.129 -0.268 2.115
Handmade/Geekery/Gadget 0.4535 0.431 1.053 0.292 -0.391 1.298
Handmade/Geekery/Humor -5.964e-15 6.6e-15 -0.903 0.366 -1.89e-14 6.98e-15
Handmade/Geekery/Jewelry -0.1875 0.608 -0.308 0.758 -1.379 1.004
Handmade/Geekery/Science -5.018e-15 6.02e-15 -0.834 0.404 -1.68e-14 6.78e-15
Handmade/Geekery/Toy 0.4073 0.431 0.946 0.344 -0.437 1.251
Handmade/Glass/Bottles 0.1068 0.151 0.708 0.479 -0.189 0.402
Handmade/Glass/Bowls -0.1181 0.352 -0.335 0.737 -0.808 0.572
Handmade/Glass/Dishes -0.0333 0.608 -0.055 0.956 -1.225 1.159
Handmade/Glass/Glassware 0.3034 0.172 1.769 0.077 -0.033 0.640
Handmade/Glass/Home Decor 1.2275 0.608 2.018 0.044 0.036 2.419
Handmade/Glass/Ornaments -0.7461 0.352 -2.119 0.034 -1.436 -0.056
Handmade/Glass/Other 0.1203 0.431 0.279 0.780 -0.724 0.964
Handmade/Glass/Paperweights -0.6184 0.608 -1.017 0.309 -1.810 0.574
Handmade/Glass/Sculptures 0.0465 0.232 0.201 0.841 -0.408 0.501
Handmade/Glass/Stained Glass 4.12e-15 6.71e-15 0.614 0.539 -9.03e-15 1.73e-14
Handmade/Glass/Supplies -1.4e-14 6.22e-15 -2.251 0.024 -2.62e-14 -1.81e-15
Handmade/Holidays/Birthday -0.4364 0.352 -1.239 0.215 -1.127 0.254
Handmade/Holidays/Christmas 0.2715 0.232 1.171 0.242 -0.183 0.726
Handmade/Holidays/Easter 0.1658 0.608 0.273 0.785 -1.026 1.358
Handmade/Holidays/Halloween -0.0192 0.205 -0.094 0.925 -0.421 0.383
Handmade/Holidays/Patriotic 0.6767 0.608 1.113 0.266 -0.515 1.869
Handmade/Holidays/Valentine 0.4536 0.608 0.746 0.456 -0.738 1.646
Handmade/Housewares/Home Decor 0.0650 0.352 0.185 0.854 -0.625 0.755
Handmade/Housewares/Kitchen 0.3174 0.431 0.737 0.461 -0.527 1.161
Handmade/Housewares/Magnets -0.3431 0.608 -0.564 0.573 -1.535 0.849
Handmade/Housewares/Other 2.845e-14 7.6e-15 3.745 0.000 1.36e-14 4.33e-14
Handmade/Housewares/Pillows -1.17e-14 6.53e-15 -1.792 0.073 -2.45e-14 1.1e-15
Handmade/Housewares/Wall Decor -0.1116 0.186 -0.600 0.549 -0.476 0.253
Handmade/Jewelry/Jewelry -0.4054 0.057 -7.066 0.000 -0.518 -0.293
Handmade/Jewelry/Music 0.2355 0.431 0.547 0.584 -0.609 1.080
Handmade/Knitting/Blanket 1.1076 0.608 1.821 0.069 -0.084 2.299
Handmade/Knitting/Knitting Supplies 0.0310 0.207 0.150 0.881 -0.375 0.437
Handmade/Knitting/Other 0.4535 0.608 0.746 0.456 -0.738 1.645
Handmade/Music/Instrument 1.1809 0.431 2.742 0.006 0.337 2.025
Handmade/Music/Poster -0.1475 0.431 -0.343 0.732 -0.992 0.697
Handmade/Music/Tape -0.3358 0.352 -0.954 0.340 -1.026 0.354
Handmade/Music/Vinyl 0.4588 0.104 4.418 0.000 0.255 0.662
Handmade/Needlecraft/Accessories 1.314e-14 7.32e-15 1.795 0.073 -1.21e-15 2.75e-14
Handmade/Needlecraft/Cross Stitch -0.5953 0.431 -1.382 0.167 -1.439 0.249
Handmade/Needlecraft/Embroidery 0.0372 0.274 0.136 0.892 -0.499 0.573
Handmade/Needlecraft/Pattern -0.2396 0.608 -0.394 0.694 -1.432 0.952
Handmade/Needlecraft/Pillow -0.2396 0.608 -0.394 0.694 -1.432 0.952
Handmade/Needlecraft/Supplies -0.2406 0.195 -1.235 0.217 -0.622 0.141
Handmade/Other/Other -0.5028 0.126 -3.998 0.000 -0.749 -0.256
Handmade/Others/Custom -0.5632 0.352 -1.600 0.110 -1.253 0.127
Handmade/Others/Educational 1.6340 0.608 2.687 0.007 0.442 2.826
Handmade/Others/Graphic Design -0.6734 0.431 -1.564 0.118 -1.517 0.171
Handmade/Others/Magic 0.5905 0.232 2.547 0.011 0.136 1.045
Handmade/Others/Other -0.4148 0.250 -1.659 0.097 -0.905 0.075
Handmade/Others/Personalized -0.5548 0.274 -2.028 0.043 -1.091 -0.019
Handmade/Others/Religious -0.3526 0.274 -1.289 0.197 -0.889 0.184
Handmade/Paper Goods/Bookmark -0.9328 0.608 -1.534 0.125 -2.125 0.259
Handmade/Paper Goods/Cards 0.1786 0.124 1.446 0.148 -0.064 0.421
Handmade/Paper Goods/Gift Wrap -0.4014 0.250 -1.605 0.108 -0.891 0.089
Handmade/Paper Goods/Journal -0.4905 0.250 -1.961 0.050 -0.981 -0.000
Handmade/Paper Goods/Notebook -0.2232 0.217 -1.028 0.304 -0.649 0.202
Handmade/Paper Goods/Origami 0.2401 0.608 0.395 0.693 -0.952 1.432
Handmade/Paper Goods/Other 0.5488 0.608 0.903 0.367 -0.643 1.741
Handmade/Paper Goods/Pad 1.009e-14 6.73e-15 1.500 0.134 -3.09e-15 2.33e-14
Handmade/Paper Goods/Scrapbooking 0.1932 0.080 2.412 0.016 0.036 0.350
Handmade/Paper Goods/Stationery -0.3490 0.119 -2.925 0.003 -0.583 -0.115
Handmade/Paper Goods/Sticker -0.9381 0.049 -19.177 0.000 -1.034 -0.842
Handmade/Patterns/Crochet -5.892e-15 6.91e-15 -0.853 0.394 -1.94e-14 7.65e-15
Handmade/Patterns/Cross Stitch -0.0554 0.608 -0.091 0.927 -1.247 1.137
Handmade/Patterns/Doll Clothing -1.3115 0.608 -2.157 0.031 -2.503 -0.120
Handmade/Patterns/Handmade -1.1559 0.608 -1.901 0.057 -2.348 0.036
Handmade/Patterns/Knitting 0.6378 0.608 1.049 0.294 -0.554 1.830
Handmade/Patterns/Quilt 1.4651 0.608 2.409 0.016 0.273 2.657
Handmade/Patterns/Sewing 0.1076 0.186 0.579 0.563 -0.257 0.472
Handmade/Pets/Accessories -0.0221 0.431 -0.051 0.959 -0.866 0.822
Handmade/Pets/Bed 1.618e-14 5.57e-15 2.906 0.004 5.27e-15 2.71e-14
Handmade/Pets/Bowl -0.0619 0.431 -0.144 0.886 -0.906 0.782
Handmade/Pets/Clothing -1.017e-14 7.54e-15 -1.349 0.177 -2.49e-14 4.6e-15
Handmade/Pets/Collar -0.0406 0.205 -0.198 0.843 -0.442 0.361
Handmade/Pets/Grooming 0.4535 0.431 1.053 0.292 -0.391 1.298
Handmade/Pets/Leash 0.4802 0.608 0.790 0.430 -0.712 1.672
Handmade/Pets/Pet Lover 0.0610 0.274 0.223 0.824 -0.475 0.597
Handmade/Pets/Small Animal -0.6686 0.608 -1.099 0.272 -1.861 0.523
Handmade/Pets/Tag -0.0573 0.608 -0.094 0.925 -1.249 1.135
Handmade/Quilts/Other -0.8585 0.608 -1.412 0.158 -2.050 0.333
Handmade/Quilts/Patch -0.2263 0.431 -0.525 0.599 -1.070 0.618
Handmade/Quilts/Wall Hanging -3.611e-14 6.21e-15 -5.816 0.000 -4.83e-14 -2.39e-14
Handmade/Toys/Food -0.1729 0.134 -1.295 0.195 -0.435 0.089
Handmade/Toys/Other -0.7151 0.274 -2.614 0.009 -1.251 -0.179
Handmade/Toys/Plush -0.5202 0.431 -1.208 0.227 -1.364 0.324
Handmade/Weddings/Accessories 0.1147 0.166 0.693 0.488 -0.210 0.439
Handmade/Weddings/Bouquets 0.0522 0.352 0.148 0.882 -0.638 0.742
Handmade/Weddings/Cake Toppers 0.2161 0.352 0.614 0.539 -0.474 0.906
Handmade/Weddings/Decorations 0.1563 0.143 1.092 0.275 -0.124 0.437
Handmade/Weddings/Favors 0.1567 0.250 0.627 0.531 -0.333 0.647
Handmade/Weddings/Guest Books -0.0573 0.608 -0.094 0.925 -1.249 1.135
Handmade/Weddings/Jewelry -0.3698 0.608 -0.608 0.543 -1.562 0.822
Handmade/Weddings/Men 0.3736 0.608 0.614 0.539 -0.818 1.566
Handmade/Weddings/Other 0.2871 0.431 0.667 0.505 -0.557 1.131
Handmade/Weddings/Pillows -0.1075 0.608 -0.177 0.860 -1.299 1.084
Handmade/Woodworking/Home Decor 0.2449 0.274 0.895 0.371 -0.291 0.781
Handmade/Woodworking/Jewelry -0.3196 0.608 -0.525 0.599 -1.511 0.872
Handmade/Woodworking/Other -0.0964 0.608 -0.159 0.874 -1.288 1.096
Handmade/Woodworking/Signs 2.2453 0.608 3.692 0.000 1.053 3.437
Handmade/Woodworking/Toys -0.6072 0.608 -0.999 0.318 -1.799 0.585
Home/Artwork/Drawings -0.0306 0.172 -0.178 0.859 -0.367 0.306
Home/Artwork/Lithographs, Etchings & Woodcuts 0.6089 0.431 1.412 0.158 -0.236 1.454
Home/Artwork/Other -0.1353 0.305 -0.443 0.658 -0.734 0.463
Home/Artwork/Paintings 0.0425 0.161 0.265 0.791 -0.272 0.357
Home/Artwork/Photographs -0.3321 0.608 -0.546 0.585 -1.524 0.860
Home/Artwork/Posters & Prints -0.4208 0.084 -4.980 0.000 -0.586 -0.255
Home/Bath/Bath Linen Sets 0.5042 0.608 0.829 0.407 -0.688 1.696
Home/Bath/Bath Rugs 0.6134 0.611 1.004 0.315 -0.584 1.811
Home/Bath/Bathroom Accessories 0.0438 0.093 0.470 0.638 -0.139 0.227
Home/Bath/Bathroom Furniture Sets 7.141e-15 6.72e-15 1.062 0.288 -6.04e-15 2.03e-14
Home/Bath/Other -0.0242 0.431 -0.056 0.955 -0.868 0.820
Home/Bath/Towels 0.3227 0.134 2.414 0.016 0.061 0.585
Home/Bedding/Bed Pillows 0.4601 0.217 2.118 0.034 0.034 0.886
Home/Bedding/Bed in a Bag 0.7805 0.431 1.813 0.070 -0.063 1.625
Home/Bedding/Bedspreads & Coverlets 0.6239 0.352 1.771 0.077 -0.067 1.315
Home/Bedding/Blankets & Throws 0.7284 0.067 10.930 0.000 0.598 0.859
Home/Bedding/Comforters & Sets 1.0746 0.105 10.207 0.000 0.868 1.281
Home/Bedding/Decorative Pillows, Inserts & Covers -0.0975 0.148 -0.659 0.510 -0.387 0.192
Home/Bedding/Duvet Covers & Sets 0.9903 0.167 5.936 0.000 0.663 1.317
Home/Bedding/Feather Beds 1.2899 0.608 2.121 0.034 0.098 2.482
Home/Bedding/Mattress Pads 0.3343 0.306 1.094 0.274 -0.265 0.934
Home/Bedding/Other -0.0573 0.608 -0.094 0.925 -1.249 1.135
Home/Bedding/Quilts 0.8398 0.166 5.069 0.000 0.515 1.165
Home/Bedding/Shams, Bed Skirts & Bed Frame Draperies -0.4941 0.431 -1.147 0.251 -1.338 0.350
Home/Bedding/Sheets & Pillowcases 0.4292 0.086 4.977 0.000 0.260 0.598
Home/Cleaning Supplies/Air Fresheners 0.1506 0.135 1.117 0.264 -0.114 0.415
Home/Cleaning Supplies/Brushes 1.174e-14 6.63e-15 1.770 0.077 -1.26e-15 2.47e-14
Home/Cleaning Supplies/Dusting 0.0859 0.608 0.141 0.888 -1.106 1.278
Home/Cleaning Supplies/Gloves -0.6241 0.352 -1.772 0.076 -1.314 0.066
Home/Cleaning Supplies/Household Cleaners 0.4042 0.066 6.112 0.000 0.275 0.534
Home/Cleaning Supplies/Mopping 0.8155 0.431 1.894 0.058 -0.029 1.660
Home/Cleaning Supplies/Other -0.0207 0.255 -0.081 0.935 -0.521 0.480
Home/Cleaning Supplies/Paper Towels 0.1488 0.274 0.544 0.587 -0.387 0.685
Home/Cleaning Supplies/Sweeping 2.3372 0.608 3.843 0.000 1.145 3.529
Home/Cleaning Supplies/Trash Bags 0.6163 0.431 1.431 0.152 -0.228 1.460
Home/Furniture/Bedroom Furniture 1.5020 0.608 2.470 0.014 0.310 2.694
Home/Furniture/Home Bar Furniture -1.373e-14 6.24e-15 -2.201 0.028 -2.6e-14 -1.51e-15
Home/Furniture/Home Entertainment Furniture 0.7219 0.608 1.187 0.235 -0.470 1.914
Home/Furniture/Home Office Furniture -0.2377 0.608 -0.391 0.696 -1.430 0.954
Home/Furniture/Living Room Furniture 1.1770 0.434 2.709 0.007 0.326 2.028
Home/Furniture/Other 1.995e-14 6.21e-15 3.215 0.001 7.79e-15 3.21e-14
Home/Furniture/Other Furniture 0.2069 0.608 0.340 0.734 -0.985 1.399
Home/Home Appliances/Air Conditioners -4.36e-16 6.02e-15 -0.072 0.942 -1.22e-14 1.14e-14
Home/Home Appliances/Air Purifiers 0.4631 0.608 0.762 0.446 -0.729 1.655
Home/Home Appliances/Fans 0.2478 0.225 1.102 0.270 -0.193 0.688
Home/Home Appliances/Garment Steamers 0.1997 0.274 0.730 0.465 -0.336 0.736
Home/Home Appliances/Humidifiers 0.2323 0.608 0.382 0.702 -0.960 1.424
Home/Home Appliances/Irons & Ironing Boards -0.0357 0.352 -0.101 0.919 -0.726 0.654
Home/Home Appliances/Kitchen Appliances 0.7365 0.109 6.772 0.000 0.523 0.950
Home/Home Appliances/Refrigerators 6.086e-15 6.02e-15 1.011 0.312 -5.71e-15 1.79e-14
Home/Home Appliances/Space Heaters 0.0808 0.352 0.229 0.818 -0.609 0.771
Home/Home Appliances/Vacuums & Floor Care 1.7428 0.197 8.858 0.000 1.357 2.128
Home/Home Appliances/Wine, Beer & Beverage Coolers 0.2756 0.087 3.173 0.002 0.105 0.446
Home/Home Décor/Area Rugs & Pads 0.6243 0.121 5.143 0.000 0.386 0.862
Home/Home Décor/Baskets 0.1216 0.170 0.716 0.474 -0.211 0.455
Home/Home Décor/Candles & Holders 0.2937 0.067 4.396 0.000 0.163 0.425
Home/Home Décor/Clocks 0.0525 0.143 0.366 0.714 -0.228 0.333
Home/Home Décor/Decorative Pillows 0.0962 0.084 1.145 0.252 -0.068 0.261
Home/Home Décor/Doormats -0.0573 0.608 -0.094 0.925 -1.249 1.135
Home/Home Décor/Home Décor Accents 0.0531 0.039 1.364 0.173 -0.023 0.129
Home/Home Décor/Home Fragrance 0.1778 0.055 3.225 0.001 0.070 0.286
Home/Home Décor/Lamps& Accessories 0.2117 0.091 2.332 0.020 0.034 0.390
Home/Home Décor/Mirrors 0.2102 0.250 0.841 0.401 -0.280 0.700
Home/Home Décor/Other -0.0389 0.166 -0.234 0.815 -0.364 0.286
Home/Home Décor/Photo Albums & Frames -0.2737 0.108 -2.537 0.011 -0.485 -0.062
Home/Home Décor/Tapestries 0.2779 0.094 2.968 0.003 0.094 0.461
Home/Home Décor/Vases 0.0431 0.155 0.278 0.781 -0.261 0.348
Home/Home Décor/Window Treatments 0.2821 0.099 2.836 0.005 0.087 0.477
Home/Kids' Home Store/Kids' Bedding 0.6161 0.152 4.049 0.000 0.318 0.914
Home/Kids' Home Store/Kids' Flatware -7.47e-15 5.92e-15 -1.261 0.207 -1.91e-14 4.14e-15
Home/Kids' Home Store/Kids' Furniture 0.8450 0.352 2.400 0.016 0.155 1.535
Home/Kids' Home Store/Kids' Room Décor -0.2504 0.129 -1.944 0.052 -0.503 0.002
Home/Kids' Home Store/Nursery Décor 0.2180 0.608 0.358 0.720 -0.974 1.410
Home/Kids' Home Store/Other -0.1875 0.431 -0.435 0.663 -1.032 0.657
Home/Kitchen & Dining/Bakeware 0.2056 0.078 2.623 0.009 0.052 0.359
Home/Kitchen & Dining/Coffee & Tea Accessories 0.1280 0.045 2.873 0.004 0.041 0.215
Home/Kitchen & Dining/Cookware 0.6733 0.116 5.782 0.000 0.445 0.901
Home/Kitchen & Dining/Dining & Entertaining 0.2138 0.049 4.352 0.000 0.118 0.310
Home/Kitchen & Dining/Food Service Equipment & Supplies -0.3754 0.208 -1.801 0.072 -0.784 0.033
Home/Kitchen & Dining/Home Brewing & Wine Making 0.2979 0.608 0.490 0.624 -0.894 1.490
Home/Kitchen & Dining/Kitchen & Table Linens -0.0903 0.118 -0.764 0.445 -0.322 0.141
Home/Kitchen & Dining/Kitchen Knives & Cutlery Accessories 0.6462 0.166 3.896 0.000 0.321 0.971
Home/Kitchen & Dining/Kitchen Utensils & Gadgets -0.0247 0.060 -0.412 0.680 -0.142 0.093
Home/Kitchen & Dining/Other 0.1626 0.163 0.995 0.320 -0.158 0.483
Home/Kitchen & Dining/Small Appliances 0.7535 0.134 5.622 0.000 0.491 1.016
Home/Kitchen & Dining/Storage & Organization 0.0842 0.102 0.822 0.411 -0.117 0.285
Home/Kitchen & Dining/Water Coolers & Filters 0.0311 0.355 0.088 0.930 -0.665 0.727
Home/Kitchen & Dining/Wine Accessories -0.0269 0.126 -0.213 0.831 -0.274 0.220
Home/Other/Other -0.1828 0.106 -1.732 0.083 -0.390 0.024
Home/Seasonal Décor/Birthday -0.1654 0.608 -0.272 0.786 -1.357 1.027
Home/Seasonal Décor/Christmas 0.1079 0.060 1.790 0.074 -0.010 0.226
Home/Seasonal Décor/Day of the Dead 0.4299 0.352 1.221 0.222 -0.260 1.120
Home/Seasonal Décor/Easter 0.0054 0.187 0.029 0.977 -0.361 0.372
Home/Seasonal Décor/Halloween 0.1225 0.060 2.026 0.043 0.004 0.241
Home/Seasonal Décor/Other -0.2395 0.608 -0.394 0.694 -1.431 0.952
Home/Seasonal Décor/Patriotic 1.2386 0.608 2.037 0.042 0.047 2.431
Home/Seasonal Décor/St Patrick's 0.1294 0.305 0.424 0.672 -0.469 0.728
Home/Seasonal Décor/Thanksgiving -0.0913 0.173 -0.529 0.597 -0.430 0.247
Home/Seasonal Décor/Valentine -0.3150 0.147 -2.141 0.032 -0.603 -0.027
Home/Storage & Organization/Baskets & Bins 0.0808 0.143 0.564 0.573 -0.200 0.361
Home/Storage & Organization/Bathroom Storage & Organization 0.0743 0.431 0.173 0.863 -0.770 0.918
Home/Storage & Organization/Clothing & Closet Storage 0.2075 0.118 1.754 0.080 -0.024 0.439
Home/Storage & Organization/Garage Storage & Organization -0.1875 0.608 -0.308 0.758 -1.379 1.004
Home/Storage & Organization/Jewelry Boxes & Organizers 0.0034 0.070 0.049 0.961 -0.135 0.141
Home/Storage & Organization/Kitchen Storage & Organization 0.6598 0.608 1.085 0.278 -0.532 1.852
Home/Storage & Organization/Laundry Storage & Organization -0.1801 0.352 -0.511 0.609 -0.870 0.510
Home/Storage & Organization/Other 0.0766 0.305 0.251 0.802 -0.522 0.675
Home/Storage & Organization/Racks, Shelves & Drawers 0.1469 0.149 0.983 0.325 -0.146 0.440
Kids/Bathing & Skin Care/Bathing Tubs & Seats 0.1121 0.197 0.570 0.569 -0.273 0.498
Kids/Bathing & Skin Care/Other -0.5457 0.460 -1.185 0.236 -1.448 0.357
Kids/Bathing & Skin Care/Shampoo 0.4963 0.400 1.242 0.214 -0.287 1.280
Kids/Bathing & Skin Care/Skin Care -0.3172 0.234 -1.355 0.175 -0.776 0.142
Kids/Bathing & Skin Care/Soaps & Cleansers -0.0942 0.294 -0.320 0.749 -0.671 0.483
Kids/Bathing & Skin Care/Washcloths & Towels -0.2702 0.180 -1.503 0.133 -0.623 0.082
Kids/Boys (4+)/Accessories -0.2874 0.121 -2.366 0.018 -0.526 -0.049
Kids/Boys (4+)/Bottoms 0.1745 0.055 3.182 0.001 0.067 0.282
Kids/Boys (4+)/Coats & Jackets 0.3283 0.066 4.936 0.000 0.198 0.459
Kids/Boys (4+)/Other 0.2047 0.110 1.859 0.063 -0.011 0.420
Kids/Boys (4+)/Shoes 0.9535 0.046 20.622 0.000 0.863 1.044
Kids/Boys (4+)/Swimwear -0.0848 0.205 -0.413 0.679 -0.487 0.317
Kids/Boys (4+)/Top & T-shirts 0.1609 0.049 3.311 0.001 0.066 0.256
Kids/Boys 0-24 Mos/Accessories -0.1887 0.100 -1.878 0.060 -0.386 0.008
Kids/Boys 0-24 Mos/Bottoms 0.1664 0.089 1.878 0.060 -0.007 0.340
Kids/Boys 0-24 Mos/Coats & Jackets 0.1646 0.084 1.964 0.050 0.000 0.329
Kids/Boys 0-24 Mos/One-Pieces 0.0416 0.047 0.882 0.378 -0.051 0.134
Kids/Boys 0-24 Mos/Other 0.1569 0.098 1.607 0.108 -0.034 0.348
Kids/Boys 0-24 Mos/Shoes 0.3187 0.049 6.482 0.000 0.222 0.415
Kids/Boys 0-24 Mos/Swimwear -0.2419 0.172 -1.407 0.160 -0.579 0.095
Kids/Boys 0-24 Mos/Tops & T-Shirts 0.1198 0.057 2.114 0.034 0.009 0.231
Kids/Boys 2T-5T/Accessories -0.0286 0.156 -0.184 0.854 -0.334 0.276
Kids/Boys 2T-5T/Bottoms 0.0410 0.065 0.631 0.528 -0.086 0.168
Kids/Boys 2T-5T/Coats & Jackets 0.1927 0.079 2.455 0.014 0.039 0.347
Kids/Boys 2T-5T/One-Pieces 0.1445 0.120 1.207 0.227 -0.090 0.379
Kids/Boys 2T-5T/Other 0.1973 0.097 2.026 0.043 0.006 0.388
Kids/Boys 2T-5T/Shoes 0.3906 0.043 9.104 0.000 0.307 0.475
Kids/Boys 2T-5T/Swimwear -0.0268 0.195 -0.138 0.890 -0.409 0.355
Kids/Boys 2T-5T/Tops & T-Shirts 0.0294 0.053 0.558 0.577 -0.074 0.133
Kids/Car Seats & Accessories/Accessories -0.0817 0.106 -0.773 0.440 -0.289 0.125
Kids/Car Seats & Accessories/Car Seats 0.5377 0.149 3.602 0.000 0.245 0.830
Kids/Car Seats & Accessories/Other 9.606e-16 7.64e-15 0.126 0.900 -1.4e-14 1.59e-14
Kids/Diapering/Changing Pads & Covers -0.0697 0.352 -0.198 0.843 -0.760 0.620
Kids/Diapering/Cloth Diapers 0.3484 0.103 3.379 0.001 0.146 0.550
Kids/Diapering/Diaper Bags 1.0761 0.079 13.664 0.000 0.922 1.230
Kids/Diapering/Diaper Pails & Refills 0.0422 0.628 0.067 0.946 -1.190 1.274
Kids/Diapering/Disposable Diapers 0.3855 0.123 3.130 0.002 0.144 0.627
Kids/Diapering/Other -1.167e-15 5.84e-15 -0.200 0.842 -1.26e-14 1.03e-14
Kids/Diapering/Wipes & Holders 0.2834 0.180 1.574 0.115 -0.069 0.636
Kids/Feeding/Bottle-Feeding -0.0971 0.099 -0.982 0.326 -0.291 0.097
Kids/Feeding/Breastfeeding 0.1853 0.121 1.529 0.126 -0.052 0.423
Kids/Feeding/Gift Sets -0.7636 0.366 -2.087 0.037 -1.481 -0.046
Kids/Feeding/Highchairs & Booster Seats 0.3825 0.279 1.369 0.171 -0.165 0.930
Kids/Feeding/Other -0.0534 0.150 -0.356 0.722 -0.347 0.240
Kids/Feeding/Pacifiers & Accessories -0.2418 0.097 -2.490 0.013 -0.432 -0.051
Kids/Feeding/Pillows & Stools -9.424e-15 8.45e-15 -1.115 0.265 -2.6e-14 7.14e-15
Kids/Feeding/Storage & Containers -0.2864 0.101 -2.830 0.005 -0.485 -0.088
Kids/Gear/Activity Centers & Entertainers -0.5963 0.608 -0.981 0.327 -1.788 0.596
Kids/Gear/Baby Gyms & Playmats 0.4137 0.184 2.250 0.024 0.053 0.774
Kids/Gear/Baby Seats 0.4162 0.189 2.201 0.028 0.046 0.787
Kids/Gear/Backpacks & Carriers 0.4885 0.064 7.632 0.000 0.363 0.614
Kids/Gear/Bicycle Child Seats & Trailers -0.1155 0.621 -0.186 0.852 -1.332 1.101
Kids/Gear/Other 0.0038 0.275 0.014 0.989 -0.535 0.543
Kids/Gear/Playards 1.3689 0.464 2.947 0.003 0.459 2.279
Kids/Gear/Shopping Cart Covers -0.1754 0.219 -0.799 0.424 -0.605 0.255
Kids/Gear/Swings, Jumpers & Bouncers 0.5383 0.188 2.862 0.004 0.170 0.907
Kids/Gear/Travel Beds 1.6798 0.304 5.532 0.000 1.085 2.275
Kids/Gear/Walkers 0.1770 0.431 0.411 0.681 -0.667 1.021
Kids/Girls (4+)/Accessories -0.2051 0.076 -2.715 0.007 -0.353 -0.057
Kids/Girls (4+)/Coats & Jackets 0.1661 0.067 2.478 0.013 0.035 0.297
Kids/Girls (4+)/Dresses 0.2977 0.058 5.095 0.000 0.183 0.412
Kids/Girls (4+)/Jeans 0.1432 0.072 1.987 0.047 0.002 0.285
Kids/Girls (4+)/Other 0.1495 0.065 2.296 0.022 0.022 0.277
Kids/Girls (4+)/Shoes 0.3838 0.057 6.793 0.000 0.273 0.495
Kids/Girls (4+)/Swimwear 0.0703 0.124 0.566 0.571 -0.173 0.314
Kids/Girls (4+)/Tops & T-Shirts 0.1600 0.051 3.123 0.002 0.060 0.260
Kids/Girls 0-24 Mos/Accessories -0.3008 0.069 -4.375 0.000 -0.436 -0.166
Kids/Girls 0-24 Mos/Bottoms -0.0358 0.092 -0.387 0.698 -0.217 0.145
Kids/Girls 0-24 Mos/Coats & Jackets 0.1729 0.086 2.007 0.045 0.004 0.342
Kids/Girls 0-24 Mos/Dresses 0.0806 0.059 1.363 0.173 -0.035 0.197
Kids/Girls 0-24 Mos/One-Pieces 0.0704 0.045 1.554 0.120 -0.018 0.159
Kids/Girls 0-24 Mos/Other 0.1801 0.094 1.919 0.055 -0.004 0.364
Kids/Girls 0-24 Mos/Shoes 0.1206 0.049 2.475 0.013 0.025 0.216
Kids/Girls 0-24 Mos/Swimwear -0.1477 0.172 -0.860 0.390 -0.484 0.189
Kids/Girls 0-24 Mos/Tops & T-Shirts 0.0784 0.061 1.278 0.201 -0.042 0.199
Kids/Girls 2T-5T/Accessories -0.1099 0.118 -0.935 0.350 -0.340 0.120
Kids/Girls 2T-5T/Bottoms 0.2952 0.066 4.489 0.000 0.166 0.424
Kids/Girls 2T-5T/Coats & Jackets 0.1540 0.076 2.017 0.044 0.004 0.304
Kids/Girls 2T-5T/Dresses 0.1860 0.058 3.210 0.001 0.072 0.300
Kids/Girls 2T-5T/One-Pieces 0.2416 0.114 2.114 0.034 0.018 0.466
Kids/Girls 2T-5T/Other 0.0753 0.101 0.748 0.455 -0.122 0.273
Kids/Girls 2T-5T/Shoes 0.2218 0.042 5.224 0.000 0.139 0.305
Kids/Girls 2T-5T/Swimwear 0.0151 0.137 0.111 0.912 -0.253 0.283
Kids/Girls 2T-5T/Tops & T-Shirts 0.1456 0.053 2.745 0.006 0.042 0.250
Kids/Health & Baby Care/Humidifiers & Vaporizers 0.3847 0.220 1.750 0.080 -0.046 0.816
Kids/Health & Baby Care/Nail Care 0.5621 0.608 0.924 0.355 -0.630 1.754
Kids/Health & Baby Care/Nasal Aspirators -0.4518 0.388 -1.165 0.244 -1.212 0.308
Kids/Health & Baby Care/Other -0.2719 0.202 -1.345 0.179 -0.668 0.124
Kids/Health & Baby Care/Teethers -0.2571 0.431 -0.597 0.551 -1.102 0.587
Kids/Health & Baby Care/Teething Relief -0.0164 0.431 -0.038 0.970 -0.860 0.828
Kids/Health & Baby Care/Thermometers -1.0058 0.306 -3.292 0.001 -1.605 -0.407
Kids/Health & Baby Care/Toothbrushes -0.4200 0.232 -1.807 0.071 -0.876 0.036
Kids/Nursery/Bedding 0.3837 0.081 4.760 0.000 0.226 0.542
Kids/Nursery/Furniture 1.2747 0.443 2.879 0.004 0.407 2.143
Kids/Nursery/Nursery Décor 0.1929 0.159 1.213 0.225 -0.119 0.505
Kids/Nursery/Other 0.0816 0.277 0.295 0.768 -0.460 0.624
Kids/Other/Other 0.2880 0.079 3.658 0.000 0.134 0.442
Kids/Potty Training/Potties & Seats 0.1134 0.235 0.483 0.629 -0.346 0.573
Kids/Potty Training/Training Pants 0.4257 0.511 0.833 0.405 -0.576 1.427
Kids/Pregnancy & Maternity/Breastfeeding Pillows & Stools 0.2312 0.150 1.541 0.123 -0.063 0.525
Kids/Pregnancy & Maternity/Family Planning Tests -0.0742 0.147 -0.505 0.613 -0.362 0.214
Kids/Pregnancy & Maternity/Maternity Pillows 1.1563 0.608 1.901 0.057 -0.036 2.348
Kids/Pregnancy & Maternity/Other -0.2612 0.363 -0.720 0.471 -0.972 0.450
Kids/Pregnancy & Maternity/Prenatal Monitoring Devices 0.9305 0.205 4.538 0.000 0.529 1.332
Kids/Safety/Cabinet Locks & Straps 0.1039 0.458 0.227 0.821 -0.794 1.002
Kids/Safety/Edge & Corner Guards -0.4628 0.608 -0.761 0.447 -1.655 0.729
Kids/Safety/Gates & Doorways -0.2206 0.609 -0.362 0.717 -1.413 0.972
Kids/Safety/Harnesses & Leashes -0.2719 0.305 -0.890 0.373 -0.871 0.327
Kids/Safety/Kitchen Safety -0.2766 0.367 -0.753 0.451 -0.996 0.443
Kids/Safety/Monitors 1.5350 0.174 8.842 0.000 1.195 1.875
Kids/Safety/Other -0.2377 0.608 -0.391 0.696 -1.430 0.954
Kids/Safety/Outdoor Safety -0.2745 0.608 -0.451 0.652 -1.466 0.917
Kids/Strollers/Accessories 0.3677 0.217 1.696 0.090 -0.057 0.792
Kids/Strollers/Joggers 2.035e-15 8.76e-15 0.232 0.816 -1.51e-14 1.92e-14
Kids/Strollers/Lightweight 3.1577 0.886 3.565 0.000 1.422 4.894
Kids/Strollers/Prams 1.44e-14 6.12e-15 2.351 0.019 2.4e-15 2.64e-14
Kids/Strollers/Standard -0.3820 0.669 -0.571 0.568 -1.693 0.928
Kids/Strollers/Travel Systems 1.6569 0.298 5.556 0.000 1.072 2.241
Kids/Toys/Action Figures & Statues 0.1754 0.044 3.977 0.000 0.089 0.262
Kids/Toys/Arts & Crafts -0.3879 0.046 -8.459 0.000 -0.478 -0.298
Kids/Toys/Baby & Toddler Toys 0.1635 0.067 2.438 0.015 0.032 0.295
Kids/Toys/Building Toys 0.0990 0.100 0.989 0.323 -0.097 0.295
Kids/Toys/Dolls & Accessories 0.3026 0.045 6.771 0.000 0.215 0.390
Kids/Toys/Dress Up & Pretend Play 0.1509 0.078 1.929 0.054 -0.002 0.304
Kids/Toys/Electronics for Kids 0.6696 0.105 6.379 0.000 0.464 0.875
Kids/Toys/Games -0.1105 0.049 -2.240 0.025 -0.207 -0.014
Kids/Toys/Hobbies -0.0107 0.055 -0.195 0.845 -0.119 0.097
Kids/Toys/Kids' Furniture, Décor & Storage 0.1043 0.218 0.479 0.632 -0.322 0.531
Kids/Toys/Learning & Education 0.1116 0.106 1.054 0.292 -0.096 0.319
Kids/Toys/Novelty & Gag Toys -0.9797 0.305 -3.208 0.001 -1.578 -0.381
Kids/Toys/Other 0.3796 0.126 3.007 0.003 0.132 0.627
Kids/Toys/Party Supplies 0.1036 0.087 1.195 0.232 -0.066 0.274
Kids/Toys/Puzzles -0.1479 0.108 -1.368 0.171 -0.360 0.064
Kids/Toys/Sports & Outdoor Play 0.1269 0.135 0.940 0.347 -0.138 0.391
Kids/Toys/Stuffed Animals & Plush 0.0259 0.047 0.554 0.580 -0.066 0.117
Kids/Toys/Toy Remote Control & Play Vehicles 0.5544 0.080 6.956 0.000 0.398 0.711
Kids/Toys/Tricycles, Scooters & Wagons 1.3094 0.435 3.009 0.003 0.456 2.162
Men/Athletic Apparel/Jackets 0.6486 0.066 9.897 0.000 0.520 0.777
Men/Athletic Apparel/Jerseys 0.6951 0.053 13.029 0.000 0.591 0.800
Men/Athletic Apparel/Other -0.1522 0.305 -0.499 0.618 -0.751 0.446
Men/Athletic Apparel/Pants 0.3955 0.108 3.665 0.000 0.184 0.607
Men/Athletic Apparel/Shirts & Tops 0.0366 0.061 0.604 0.546 -0.082 0.155
Men/Athletic Apparel/Shorts 0.0254 0.062 0.407 0.684 -0.097 0.148
Men/Athletic Apparel/Snowsuits & Bibs 0.7251 0.437 1.660 0.097 -0.131 1.582
Men/Athletic Apparel/Socks -0.0594 0.071 -0.833 0.405 -0.199 0.080
Men/Athletic Apparel/Tracksuits & Sweats 0.1452 0.233 0.622 0.534 -0.312 0.603
Men/Athletic Apparel/Vests -0.3324 0.432 -0.770 0.441 -1.178 0.513
Men/Blazers & Sport Coats/Double Breasted 2.837e-14 6.24e-15 4.546 0.000 1.61e-14 4.06e-14
Men/Blazers & Sport Coats/One Button -1.2125 0.609 -1.992 0.046 -2.405 -0.020
Men/Blazers & Sport Coats/Two Button 0.5740 0.364 1.577 0.115 -0.139 1.287
Men/Coats & Jackets/Fleece Jacket 0.4753 0.120 3.968 0.000 0.241 0.710
Men/Coats & Jackets/Flight/Bomber 0.7572 0.172 4.407 0.000 0.420 1.094
Men/Coats & Jackets/Jean Jacket 0.8191 0.181 4.523 0.000 0.464 1.174
Men/Coats & Jackets/Military 0.6960 0.352 1.975 0.048 0.005 1.387
Men/Coats & Jackets/Motorcycle 0.9578 0.188 5.102 0.000 0.590 1.326
Men/Coats & Jackets/Other 0.7288 0.165 4.404 0.000 0.404 1.053
Men/Coats & Jackets/Parka 1.4823 0.307 4.834 0.000 0.881 2.083
Men/Coats & Jackets/Peacoat 0.7109 0.453 1.568 0.117 -0.178 1.600
Men/Coats & Jackets/Puffer 0.8488 0.222 3.817 0.000 0.413 1.285
Men/Coats & Jackets/Rainwear 0.6062 0.609 0.995 0.320 -0.588 1.800
Men/Coats & Jackets/Trench 0.8687 0.356 2.439 0.015 0.171 1.567
Men/Coats & Jackets/Varsity/Baseball 0.8031 0.311 2.584 0.010 0.194 1.412
Men/Coats & Jackets/Vest 0.4529 0.142 3.199 0.001 0.175 0.730
Men/Coats & Jackets/Windbreaker 0.6306 0.077 8.140 0.000 0.479 0.782
Men/Coats & Jackets/Wool 0.7179 0.473 1.517 0.129 -0.210 1.646
Men/Jeans/Baggy, Loose 0.2479 0.250 0.991 0.322 -0.243 0.738
Men/Jeans/Boot Cut 0.4769 0.090 5.301 0.000 0.301 0.653
Men/Jeans/Cargo 0.6078 0.354 1.715 0.086 -0.087 1.302
Men/Jeans/Carpenter -7.684e-15 5.38e-15 -1.427 0.153 -1.82e-14 2.87e-15
Men/Jeans/Classic, Straight Leg 0.4670 0.065 7.162 0.000 0.339 0.595
Men/Jeans/Other 0.2443 0.218 1.120 0.263 -0.183 0.672
Men/Jeans/Overalls 1.9238 0.304 6.336 0.000 1.329 2.519
Men/Jeans/Relaxed 0.5656 0.134 4.208 0.000 0.302 0.829
Men/Jeans/Slim, Skinny 0.4587 0.086 5.353 0.000 0.291 0.627
Men/Men's Accessories/Backpacks, Bags & Briefcases 0.6288 0.068 9.265 0.000 0.496 0.762
Men/Men's Accessories/Belts 0.4910 0.070 6.985 0.000 0.353 0.629
Men/Men's Accessories/Hats 0.0582 0.046 1.267 0.205 -0.032 0.148
Men/Men's Accessories/Other 0.1334 0.058 2.282 0.023 0.019 0.248
Men/Men's Accessories/Sunglasses 0.2235 0.078 2.877 0.004 0.071 0.376
Men/Men's Accessories/Ties -0.3052 0.128 -2.376 0.018 -0.557 -0.053
Men/Men's Accessories/Wallets 0.1568 0.082 1.919 0.055 -0.003 0.317
Men/Men's Accessories/Watches 0.7764 0.057 13.624 0.000 0.665 0.888
Men/Other/Other 0.0681 0.081 0.838 0.402 -0.091 0.227
Men/Pants/Cargo 0.1274 0.276 0.462 0.644 -0.414 0.668
Men/Pants/Carpenter 0.1212 0.447 0.271 0.786 -0.756 0.998
Men/Pants/Casual Pants 0.1904 0.259 0.734 0.463 -0.318 0.699
Men/Pants/Dress - Flat Front 0.1249 0.226 0.553 0.580 -0.318 0.567
Men/Pants/Dress - Pleat 0.3914 0.704 0.556 0.578 -0.988 1.771
Men/Pants/Khakis, Chinos 0.3609 0.134 2.700 0.007 0.099 0.623
Men/Pants/Other 0.6729 0.243 2.774 0.006 0.197 1.148
Men/Shoes/Athletic 1.1207 0.041 27.520 0.000 1.041 1.201
Men/Shoes/Boots 0.9825 0.077 12.766 0.000 0.832 1.133
Men/Shoes/Fashion Sneakers 0.9488 0.049 19.288 0.000 0.852 1.045
Men/Shoes/Loafers & Slip-Ons 0.5651 0.105 5.401 0.000 0.360 0.770
Men/Shoes/Mules & Clogs 0.5466 0.445 1.229 0.219 -0.325 1.418
Men/Shoes/Outdoor 1.5019 0.608 2.470 0.014 0.310 2.694
Men/Shoes/Oxfords 0.6602 0.174 3.805 0.000 0.320 1.000
Men/Shoes/Sandals 0.3655 0.098 3.725 0.000 0.173 0.558
Men/Shoes/Slippers 0.2766 0.169 1.640 0.101 -0.054 0.607
Men/Shoes/Work & Safety 1.1212 0.432 2.595 0.009 0.274 1.968
Men/Shorts/Athletic -0.0432 0.195 -0.222 0.825 -0.426 0.339
Men/Shorts/Board, Surf 0.2302 0.306 0.752 0.452 -0.370 0.830
Men/Shorts/Cargo 0.1291 0.140 0.925 0.355 -0.145 0.403
Men/Shorts/Carpenter, Utility 0.4862 0.611 0.796 0.426 -0.710 1.683
Men/Shorts/Casual Shorts 0.2021 0.090 2.234 0.026 0.025 0.379
Men/Shorts/Denim 0.4077 0.309 1.321 0.187 -0.197 1.013
Men/Shorts/Dress Shorts -0.0342 0.276 -0.124 0.901 -0.576 0.507
Men/Shorts/Khakis, Chinos -0.0259 0.206 -0.126 0.900 -0.430 0.378
Men/Shorts/Other 0.0301 0.306 0.098 0.922 -0.570 0.630
Men/Suits/Other 0.5460 0.624 0.875 0.382 -0.678 1.770
Men/Suits/Three Button 0.3468 0.746 0.465 0.642 -1.116 1.810
Men/Suits/Two Button 0.7918 0.431 1.836 0.066 -0.054 1.637
Men/Sweaters/Cardigan 0.4769 0.283 1.688 0.091 -0.077 1.031
Men/Sweaters/Crewneck 0.3423 0.089 3.849 0.000 0.168 0.517
Men/Sweaters/Full Zip 0.3340 0.167 2.000 0.045 0.007 0.661
Men/Sweaters/Other 0.2898 0.236 1.228 0.219 -0.173 0.752
Men/Sweaters/Polo 0.1349 0.307 0.440 0.660 -0.467 0.736
Men/Sweaters/Turtleneck 1.826e-14 7.13e-15 2.561 0.010 4.28e-15 3.22e-14
Men/Sweaters/V-Neck 0.0825 0.181 0.457 0.648 -0.271 0.436
Men/Sweaters/Vest 0.0812 0.311 0.261 0.794 -0.529 0.691
Men/Sweats & Hoodies/Hoodie 0.5052 0.049 10.304 0.000 0.409 0.601
Men/Sweats & Hoodies/Other -0.0595 0.300 -0.199 0.843 -0.647 0.528
Men/Sweats & Hoodies/Sweatshirt, Pullover 0.4113 0.055 7.445 0.000 0.303 0.520
Men/Sweats & Hoodies/Track & Sweat Pants 0.3271 0.065 5.042 0.000 0.200 0.454
Men/Sweats & Hoodies/Track & Sweat Suits 0.9288 0.252 3.685 0.000 0.435 1.423
Men/Sweats & Hoodies/Track Jacket 0.7630 0.608 1.254 0.210 -0.429 1.955
Men/Swimwear/Board Shorts 0.3063 0.191 1.600 0.110 -0.069 0.682
Men/Swimwear/Swim Briefs 0.4631 0.608 0.762 0.446 -0.729 1.655
Men/Swimwear/Swim Trunks 0.1935 0.142 1.367 0.172 -0.084 0.471
Men/Tops/Button-Front 0.1649 0.063 2.628 0.009 0.042 0.288
Men/Tops/Dress Shirts 0.2153 0.114 1.887 0.059 -0.008 0.439
Men/Tops/Hawaiian 0.4655 0.353 1.318 0.187 -0.227 1.158
Men/Tops/Henley 0.2633 0.252 1.043 0.297 -0.232 0.758
Men/Tops/Other 0.1065 0.179 0.595 0.552 -0.244 0.457
Men/Tops/Polo, Rugby 0.2865 0.061 4.662 0.000 0.166 0.407
Men/Tops/T-shirts 0.0450 0.039 1.151 0.250 -0.032 0.122
Men/Tops/Tank -0.1014 0.119 -0.850 0.395 -0.335 0.132
Men/Tops/Turtleneck -0.2454 0.610 -0.403 0.687 -1.440 0.949
Other 0.2324 0.044 5.315 0.000 0.147 0.318
Other/Automotive/Automotive Enthusiast Merchandise -1.4436 0.608 -2.374 0.018 -2.636 -0.252
Other/Automotive/Car Care -0.6634 0.352 -1.884 0.060 -1.354 0.027
Other/Automotive/Car Electronics & Accessories 0.0224 0.131 0.171 0.864 -0.234 0.279
Other/Automotive/Exterior Accessories -0.6689 0.082 -8.127 0.000 -0.830 -0.508
Other/Automotive/Interior Accessories 0.0358 0.123 0.290 0.772 -0.206 0.278
Other/Automotive/Lights & Lighting Accessories 0.1200 0.106 1.128 0.259 -0.088 0.328
Other/Automotive/Motorcycle & Powersports 1.2249 0.250 4.898 0.000 0.735 1.715
Other/Automotive/Performance Parts & Accessories -0.2390 0.352 -0.679 0.497 -0.929 0.451
Other/Automotive/Tires & Wheels 0.0002 0.431 0.001 1.000 -0.844 0.844
Other/Automotive/Tools & Equipment 0.5018 0.111 4.513 0.000 0.284 0.720
Other/Books/Arts & Photography -0.1318 0.186 -0.708 0.479 -0.496 0.233
Other/Books/Biographies & Memoirs -0.1965 0.195 -1.008 0.313 -0.578 0.185
Other/Books/Business & Money 0.2955 0.274 1.080 0.280 -0.241 0.832
Other/Books/Children's Books -0.0689 0.071 -0.975 0.330 -0.207 0.070
Other/Books/Christian Books & Bibles -0.0230 0.143 -0.161 0.872 -0.304 0.257
Other/Books/Education & Teaching 0.4433 0.075 5.878 0.000 0.295 0.591
Other/Books/Engineering & Transportation 0.0245 0.608 0.040 0.968 -1.167 1.216
Other/Books/History 0.4376 0.232 1.887 0.059 -0.017 0.892
Other/Books/Literature & Fiction -0.1595 0.052 -3.077 0.002 -0.261 -0.058
Other/Books/Medical Books 0.5625 0.121 4.634 0.000 0.325 0.800
Other/Books/Other 0.0614 0.128 0.479 0.632 -0.190 0.313
Other/Books/Politics & Social Sciences 0.5212 0.431 1.210 0.226 -0.323 1.365
Other/Books/Reference -0.4543 0.250 -1.817 0.069 -0.944 0.036
Other/Books/Religion & Spirituality 0.1003 0.128 0.782 0.434 -0.151 0.352
Other/Books/Science & Math 0.6449 0.250 2.579 0.010 0.155 1.135
Other/Daily & Travel items/Baby & Child Care 0.4447 0.189 2.359 0.018 0.075 0.814
Other/Daily & Travel items/Health Care 0.2428 0.059 4.133 0.000 0.128 0.358
Other/Daily & Travel items/Household Supplies 0.1419 0.137 1.033 0.301 -0.127 0.411
Other/Daily & Travel items/Medical Supplies & Equipment 0.6648 0.085 7.854 0.000 0.499 0.831
Other/Daily & Travel items/Other 0.3606 0.186 1.939 0.053 -0.004 0.725
Other/Daily & Travel items/Personal Care -0.0995 0.054 -1.857 0.063 -0.204 0.006
Other/Daily & Travel items/Sports Nutrition 0.6531 0.069 9.428 0.000 0.517 0.789
Other/Daily & Travel items/Stationery & Party Supplies -0.4294 0.160 -2.681 0.007 -0.743 -0.115
Other/Magazines/Lifestyle & Cultures -0.0560 0.172 -0.326 0.744 -0.392 0.280
Other/Magazines/Other 0.4379 0.274 1.601 0.109 -0.098 0.974
Other/Musical instruments/Amplifiers & Effects 1.1152 0.320 3.483 0.000 0.488 1.743
Other/Musical instruments/Band & Orchestra -0.1311 0.431 -0.304 0.761 -0.975 0.713
Other/Musical instruments/Brass Instruments 1.747e-15 6.18e-15 0.283 0.777 -1.04e-14 1.39e-14
Other/Musical instruments/DJ, Electronic Music & Karaoke 0.8559 0.232 3.691 0.000 0.401 1.310
Other/Musical instruments/Drums & Percussion 1.4487 0.608 2.382 0.017 0.257 2.641
Other/Musical instruments/Guitars 0.5828 0.271 2.147 0.032 0.051 1.115
Other/Musical instruments/Instrument Accessories -0.1840 0.168 -1.097 0.273 -0.513 0.145
Other/Musical instruments/Keyboards 0.7847 0.232 3.385 0.001 0.330 1.239
Other/Musical instruments/Live Sound & Stage -4.893e-16 6.59e-15 -0.074 0.941 -1.34e-14 1.24e-14
Other/Musical instruments/Microphones & Accessories 0.5928 0.217 2.730 0.006 0.167 1.019
Other/Musical instruments/Stringed Instruments 0.7417 0.262 2.829 0.005 0.228 1.256
Other/Musical instruments/Studio Recording Equipment 2.4930 0.352 7.080 0.000 1.803 3.183
Other/Musical instruments/Wind & Woodwind Instruments 1.0729 0.608 1.764 0.078 -0.119 2.265
Other/Office supplies/Basic Supplies -0.3705 0.120 -3.085 0.002 -0.606 -0.135
Other/Office supplies/Calendars -0.2221 0.100 -2.225 0.026 -0.418 -0.026
Other/Office supplies/Electronics 0.8152 0.089 9.141 0.000 0.640 0.990
Other/Office supplies/Furniture -0.3307 0.608 -0.544 0.587 -1.523 0.861
Other/Office supplies/Ink & Toner 0.0844 0.125 0.675 0.500 -0.161 0.330
Other/Office supplies/Organization 0.2150 0.102 2.107 0.035 0.015 0.415
Other/Office supplies/Other -0.3650 0.217 -1.680 0.093 -0.791 0.061
Other/Office supplies/Paper -0.3307 0.608 -0.544 0.587 -1.523 0.861
Other/Office supplies/School Supplies 0.0005 0.060 0.008 0.994 -0.116 0.117
Other/Office supplies/Shipping Supplies -0.3408 0.047 -7.251 0.000 -0.433 -0.249
Other/Office supplies/Writing -0.1009 0.085 -1.186 0.236 -0.268 0.066
Other/Other/Other 0.1667 0.042 3.984 0.000 0.085 0.249
Other/Pet Supplies/Cage 0.4815 0.194 2.484 0.013 0.102 0.861
Other/Pet Supplies/Dogs -0.0532 0.060 -0.880 0.379 -0.172 0.065
Other/Pet Supplies/Others -0.0813 0.075 -1.080 0.280 -0.229 0.066
Sports & Outdoors/Apparel/Accessories -0.1421 0.079 -1.802 0.072 -0.297 0.012
Sports & Outdoors/Apparel/Boys 0.3122 0.087 3.578 0.000 0.141 0.483
Sports & Outdoors/Apparel/Girls -0.0054 0.102 -0.053 0.958 -0.205 0.195
Sports & Outdoors/Apparel/Men 0.6519 0.311 2.095 0.036 0.042 1.262
Sports & Outdoors/Apparel/Other 0.5447 0.431 1.265 0.206 -0.299 1.389
Sports & Outdoors/Apparel/Women 0.1699 0.132 1.292 0.197 -0.088 0.428
Sports & Outdoors/Exercise/Athletic Training 0.6304 0.143 4.403 0.000 0.350 0.911
Sports & Outdoors/Exercise/Boxing & MMA 0.5717 0.219 2.611 0.009 0.143 1.001
Sports & Outdoors/Exercise/Dance/Ballet 0.1044 0.105 0.992 0.321 -0.102 0.311
Sports & Outdoors/Exercise/Fitness accessories 0.1289 0.048 2.670 0.008 0.034 0.224
Sports & Outdoors/Exercise/Fitness technology 0.6002 0.089 6.749 0.000 0.426 0.775
Sports & Outdoors/Exercise/Other 1.5139 0.433 3.500 0.000 0.666 2.362
Sports & Outdoors/Exercise/Strength training 0.6245 0.205 3.046 0.002 0.223 1.026
Sports & Outdoors/Exercise/Yoga & Pilates 0.1194 0.105 1.136 0.256 -0.087 0.325
Sports & Outdoors/Fan Shop/MLB 0.0063 0.076 0.083 0.934 -0.142 0.155
Sports & Outdoors/Fan Shop/NBA 0.0919 0.095 0.966 0.334 -0.095 0.279
Sports & Outdoors/Fan Shop/NCAA 0.0795 0.080 0.993 0.321 -0.077 0.236
Sports & Outdoors/Fan Shop/NFL 0.0493 0.052 0.940 0.347 -0.053 0.152
Sports & Outdoors/Fan Shop/NHL 0.3971 0.158 2.516 0.012 0.088 0.706
Sports & Outdoors/Fan Shop/Other 0.2321 0.431 0.539 0.590 -0.612 1.076
Sports & Outdoors/Footwear/Cleats 0.8466 0.105 8.095 0.000 0.642 1.052
Sports & Outdoors/Footwear/Kids -0.0812 0.609 -0.133 0.894 -1.274 1.112
Sports & Outdoors/Footwear/Women 0.7216 0.447 1.614 0.106 -0.154 1.598
Sports & Outdoors/Golf/Electronics 1.3794 0.352 3.917 0.000 0.689 2.070
Sports & Outdoors/Golf/Golf Apparel 0.3936 0.180 2.183 0.029 0.040 0.747
Sports & Outdoors/Golf/Golf Bags 1.9908 0.861 2.311 0.021 0.302 3.679
Sports & Outdoors/Golf/Golf Balls 0.3458 0.314 1.103 0.270 -0.269 0.960
Sports & Outdoors/Golf/Golf Shoes 1.4110 0.608 2.320 0.020 0.219 2.603
Sports & Outdoors/Golf/Men's Golf Clubs 1.3268 0.243 5.469 0.000 0.851 1.802
Sports & Outdoors/Golf/Other 0.1918 0.305 0.628 0.530 -0.407 0.790
Sports & Outdoors/Other/Other 0.2948 0.143 2.060 0.039 0.014 0.575
Sports & Outdoors/Outdoors/Bike & Skate 0.7540 0.161 4.681 0.000 0.438 1.070
Sports & Outdoors/Outdoors/Boating -5.019e-15 7.59e-15 -0.662 0.508 -1.99e-14 9.85e-15
Sports & Outdoors/Outdoors/Fishing 0.0834 0.118 0.707 0.479 -0.148 0.315
Sports & Outdoors/Outdoors/Hiking & Camping 0.2874 0.065 4.407 0.000 0.160 0.415
Sports & Outdoors/Outdoors/Indoor/Outdoor Games 0.6643 0.112 5.926 0.000 0.445 0.884
Sports & Outdoors/Outdoors/Other 0.0594 0.140 0.426 0.670 -0.214 0.333
Sports & Outdoors/Outdoors/Skateboard 0.2519 0.111 2.276 0.023 0.035 0.469
Sports & Outdoors/Outdoors/Snowboard 0.7408 0.181 4.099 0.000 0.387 1.095
Sports & Outdoors/Outdoors/Water Sports 0.2747 0.148 1.851 0.064 -0.016 0.566
Sports & Outdoors/Team Sports/All Other Sports 0.5057 0.608 0.832 0.406 -0.686 1.698
Sports & Outdoors/Team Sports/Baseball & Softball 0.2120 0.112 1.893 0.058 -0.007 0.432
Sports & Outdoors/Team Sports/Basketball 0.2143 0.304 0.705 0.481 -0.381 0.810
Sports & Outdoors/Team Sports/Football 0.1303 0.136 0.961 0.337 -0.135 0.396
Sports & Outdoors/Team Sports/Hockey 1.6513 0.610 2.705 0.007 0.455 2.848
Sports & Outdoors/Team Sports/Lacrosse 0.4133 0.608 0.679 0.497 -0.779 1.605
Sports & Outdoors/Team Sports/Soccer 0.3630 0.114 3.173 0.002 0.139 0.587
Sports & Outdoors/Team Sports/Tennis & Racquets 0.2192 0.326 0.673 0.501 -0.419 0.858
Sports & Outdoors/Team Sports/Volleyball -0.1772 0.246 -0.720 0.471 -0.659 0.305
Vintage & Collectibles/Accessories/Apron -0.4805 0.609 -0.789 0.430 -1.674 0.713
Vintage & Collectibles/Accessories/Belt 0.2635 0.431 0.612 0.541 -0.581 1.108
Vintage & Collectibles/Accessories/Buckle -0.1270 0.431 -0.295 0.768 -0.971 0.717
Vintage & Collectibles/Accessories/Cuff Links 0.3454 0.432 0.800 0.424 -0.501 1.192
Vintage & Collectibles/Accessories/Eyewear 0.1068 0.153 0.696 0.486 -0.194 0.407
Vintage & Collectibles/Accessories/Gloves 0.2097 0.680 0.308 0.758 -1.123 1.543
Vintage & Collectibles/Accessories/Hat -0.1120 0.275 -0.407 0.684 -0.652 0.428
Vintage & Collectibles/Accessories/Keychain -0.4043 0.067 -6.009 0.000 -0.536 -0.272
Vintage & Collectibles/Accessories/Other 0.0478 0.250 0.191 0.848 -0.442 0.538
Vintage & Collectibles/Accessories/Scarf 0.7380 0.613 1.204 0.229 -0.464 1.940
Vintage & Collectibles/Accessories/Shoes -0.3574 0.431 -0.830 0.407 -1.201 0.487
Vintage & Collectibles/Accessories/Wallet 1.2334 0.702 1.756 0.079 -0.143 2.610
Vintage & Collectibles/Antique/100 Years or Older 0.6872 0.178 3.852 0.000 0.338 1.037
Vintage & Collectibles/Antique/50 To 75 Years 0.7059 0.274 2.580 0.010 0.170 1.242
Vintage & Collectibles/Antique/75 To 100 Years 0.6937 0.305 2.271 0.023 0.095 1.292
Vintage & Collectibles/Antique/Accessories 0.3062 0.352 0.869 0.385 -0.384 0.996
Vintage & Collectibles/Antique/Bags and Purses 1.6602 0.352 4.715 0.000 0.970 2.350
Vintage & Collectibles/Antique/Book -0.0323 0.119 -0.271 0.786 -0.266 0.202
Vintage & Collectibles/Antique/Collectibles 0.2233 0.046 4.817 0.000 0.132 0.314
Vintage & Collectibles/Antique/Electronics 0.6768 0.195 3.474 0.001 0.295 1.059
Vintage & Collectibles/Antique/Home Decor 0.2247 0.352 0.638 0.523 -0.466 0.915
Vintage & Collectibles/Antique/Jewelry 0.1889 0.250 0.756 0.450 -0.301 0.679
Vintage & Collectibles/Antique/Other -0.6072 0.608 -0.999 0.318 -1.799 0.585
Vintage & Collectibles/Antique/Paper Ephemera 0.4945 0.608 0.813 0.416 -0.697 1.686
Vintage & Collectibles/Antique/Supplies -1.1794 0.608 -1.939 0.052 -2.371 0.013
Vintage & Collectibles/Antique/Toy -0.6072 0.608 -0.999 0.318 -1.799 0.585
Vintage & Collectibles/Bags and Purses/Case 0.9906 0.610 1.625 0.104 -0.204 2.185
Vintage & Collectibles/Bags and Purses/Change Purse -0.3411 0.140 -2.435 0.015 -0.616 -0.067
Vintage & Collectibles/Bags and Purses/Clutch -0.0709 0.137 -0.517 0.605 -0.340 0.198
Vintage & Collectibles/Bags and Purses/Diaper Bag 2.738e-15 7.02e-15 0.390 0.697 -1.1e-14 1.65e-14
Vintage & Collectibles/Bags and Purses/Formal 1.3497 0.276 4.897 0.000 0.809 1.890
Vintage & Collectibles/Bags and Purses/Handbag 0.8045 0.070 11.532 0.000 0.668 0.941
Vintage & Collectibles/Bags and Purses/Leather -3.221e-14 8.69e-15 -3.707 0.000 -4.92e-14 -1.52e-14
Vintage & Collectibles/Bags and Purses/Luggage 0.9694 0.122 7.961 0.000 0.731 1.208
Vintage & Collectibles/Bags and Purses/Other -0.5019 0.608 -0.825 0.409 -1.694 0.690
Vintage & Collectibles/Bags and Purses/Pouch -0.5357 0.219 -2.446 0.014 -0.965 -0.106
Vintage & Collectibles/Bags and Purses/Purse 0.6568 0.105 6.244 0.000 0.451 0.863
Vintage & Collectibles/Bags and Purses/Tote 1.0064 0.609 1.651 0.099 -0.188 2.201
Vintage & Collectibles/Book/Art 0.2644 0.431 0.614 0.539 -0.580 1.108
Vintage & Collectibles/Book/Biography -0.3502 0.431 -0.813 0.416 -1.194 0.494
Vintage & Collectibles/Book/Children -0.6185 0.274 -2.261 0.024 -1.155 -0.082
Vintage & Collectibles/Book/Comics 0.2559 0.080 3.192 0.001 0.099 0.413
Vintage & Collectibles/Book/Cookbook 0.0511 0.274 0.187 0.852 -0.485 0.587
Vintage & Collectibles/Book/Crafting -0.9328 0.608 -1.534 0.125 -2.125 0.259
Vintage & Collectibles/Book/Fiction -0.2721 0.195 -1.397 0.162 -0.654 0.110
Vintage & Collectibles/Book/History 0.0245 0.608 0.040 0.968 -1.167 1.216
Vintage & Collectibles/Book/How to -0.3307 0.608 -0.544 0.587 -1.523 0.861
Vintage & Collectibles/Book/Instructional 0.2069 0.608 0.340 0.734 -0.985 1.399
Vintage & Collectibles/Book/Nonfiction -0.1531 0.431 -0.355 0.722 -0.997 0.691
Vintage & Collectibles/Book/Other 0.2979 0.608 0.490 0.624 -0.894 1.490
Vintage & Collectibles/Book/Poetry 0.0215 0.431 0.050 0.960 -0.823 0.865
Vintage & Collectibles/Book/Reference -0.3321 0.608 -0.546 0.585 -1.524 0.860
Vintage & Collectibles/Book/Religion 1.0178 0.608 1.674 0.094 -0.174 2.210
Vintage & Collectibles/Book/Scifi -0.1986 0.608 -0.327 0.744 -1.391 0.993
Vintage & Collectibles/Clothing/Blouse -0.1986 0.608 -0.327 0.744 -1.391 0.993
Vintage & Collectibles/Clothing/Children -1.7e-14 6.87e-15 -2.475 0.013 -3.05e-14 -3.54e-15
Vintage & Collectibles/Clothing/Corset -0.2396 0.608 -0.394 0.694 -1.432 0.952
Vintage & Collectibles/Clothing/Dress 1.0066 0.197 5.105 0.000 0.620 1.393
Vintage & Collectibles/Clothing/Jacket 0.6330 0.250 2.530 0.011 0.143 1.123
Vintage & Collectibles/Clothing/Other -0.3367 0.307 -1.096 0.273 -0.939 0.265
Vintage & Collectibles/Clothing/Outerwear 0.0885 0.431 0.206 0.837 -0.756 0.933
Vintage & Collectibles/Clothing/Pants 1.2327 0.610 2.022 0.043 0.038 2.428
Vintage & Collectibles/Clothing/Shawl 2.143e-14 7.37e-15 2.907 0.004 6.98e-15 3.59e-14
Vintage & Collectibles/Clothing/Shirt 0.2808 0.305 0.919 0.358 -0.318 0.879
Vintage & Collectibles/Clothing/Shorts 0.1469 0.105 1.396 0.163 -0.059 0.353
Vintage & Collectibles/Clothing/Skirt 0.5176 0.275 1.882 0.060 -0.021 1.057
Vintage & Collectibles/Clothing/Sweater 0.2131 0.073 2.911 0.004 0.070 0.357
Vintage & Collectibles/Clothing/Swimwear 0.1255 0.232 0.541 0.589 -0.329 0.580
Vintage & Collectibles/Clothing/Tank 0.2180 0.608 0.358 0.720 -0.974 1.410
Vintage & Collectibles/Clothing/Tshirt 0.2268 0.290 0.783 0.433 -0.341 0.794
Vintage & Collectibles/Collectibles/Doll 0.3561 0.089 3.985 0.000 0.181 0.531
Vintage & Collectibles/Collectibles/Figurine 0.4026 0.068 5.883 0.000 0.268 0.537
Vintage & Collectibles/Collectibles/Glass 0.3695 0.074 4.997 0.000 0.225 0.514
Vintage & Collectibles/Collectibles/Other 0.3556 0.066 5.360 0.000 0.226 0.486
Vintage & Collectibles/Collectibles/Porcelain 0.3800 0.181 2.102 0.036 0.026 0.734
Vintage & Collectibles/Collectibles/Souvenir 0.3131 0.080 3.890 0.000 0.155 0.471
Vintage & Collectibles/Electronics/Camera 0.7483 0.172 4.359 0.000 0.412 1.085
Vintage & Collectibles/Electronics/Other -0.0573 0.608 -0.094 0.925 -1.249 1.135
Vintage & Collectibles/Electronics/Radio -2.03e-14 8.73e-15 -2.326 0.020 -3.74e-14 -3.2e-15
Vintage & Collectibles/Electronics/Video Game 0.2764 0.059 4.722 0.000 0.162 0.391
Vintage & Collectibles/Furniture/Entertainment -0.4752 0.608 -0.781 0.435 -1.667 0.717
Vintage & Collectibles/Furniture/Fixture -1.67e-14 1.01e-14 -1.661 0.097 -3.64e-14 3e-15
Vintage & Collectibles/Home Decor/Basket 1.0586 0.441 2.402 0.016 0.195 1.922
Vintage & Collectibles/Home Decor/Box 0.7765 0.352 2.205 0.027 0.086 1.467
Vintage & Collectibles/Home Decor/Candle Holder -0.0902 0.352 -0.256 0.798 -0.780 0.600
Vintage & Collectibles/Home Decor/Frame 0.2360 0.352 0.670 0.503 -0.454 0.926
Vintage & Collectibles/Home Decor/Lighting -1.625e-15 7.39e-15 -0.220 0.826 -1.61e-14 1.29e-14
Vintage & Collectibles/Home Decor/Other 0.0768 0.205 0.374 0.708 -0.325 0.479
Vintage & Collectibles/Home Decor/Pillow -5.743e-17 6e-15 -0.010 0.992 -1.18e-14 1.17e-14
Vintage & Collectibles/Home Decor/Planter 0.1069 0.431 0.248 0.804 -0.737 0.951
Vintage & Collectibles/Home Decor/Tray 0.7035 0.361 1.947 0.052 -0.005 1.412
Vintage & Collectibles/Home Decor/Vase 0.0637 0.353 0.181 0.857 -0.627 0.755
Vintage & Collectibles/Home Decor/Wall Hanging 0.1350 0.186 0.726 0.468 -0.230 0.500
Vintage & Collectibles/Housewares/Bowl 0.4648 0.149 3.124 0.002 0.173 0.756
Vintage & Collectibles/Housewares/Ceramic 0.5668 0.105 5.395 0.000 0.361 0.773
Vintage & Collectibles/Housewares/Coaster 0.2530 0.352 0.719 0.472 -0.437 0.943
Vintage & Collectibles/Housewares/Cup 0.3276 0.128 2.554 0.011 0.076 0.579
Vintage & Collectibles/Housewares/Glass 0.5926 0.163 3.631 0.000 0.273 0.912
Vintage & Collectibles/Housewares/Magnet -0.7505 0.431 -1.743 0.081 -1.594 0.094
Vintage & Collectibles/Housewares/Other 0.1069 0.217 0.492 0.623 -0.319 0.533
Vintage & Collectibles/Housewares/Plate -4.822e-15 6.27e-15 -0.769 0.442 -1.71e-14 7.48e-15
Vintage & Collectibles/Jewelry/Bracelet 0.3483 0.147 2.367 0.018 0.060 0.637
Vintage & Collectibles/Jewelry/Brooch 0.2527 0.126 2.004 0.045 0.006 0.500
Vintage & Collectibles/Jewelry/Earrings 0.4322 0.166 2.608 0.009 0.107 0.757
Vintage & Collectibles/Jewelry/Necklace 0.3199 0.118 2.722 0.006 0.090 0.550
Vintage & Collectibles/Jewelry/Other -0.1176 0.232 -0.507 0.612 -0.572 0.337
Vintage & Collectibles/Jewelry/Pendant 0.2504 0.104 2.410 0.016 0.047 0.454
Vintage & Collectibles/Jewelry/Ring 0.4577 0.127 3.598 0.000 0.208 0.707
Vintage & Collectibles/Jewelry/Watch 0.8788 0.172 5.119 0.000 0.542 1.215
Vintage & Collectibles/Other/Other 0.1871 0.134 1.401 0.161 -0.075 0.449
Vintage & Collectibles/Paper Ephemera/Other 0.0497 0.431 0.115 0.908 -0.794 0.894
Vintage & Collectibles/Paper Ephemera/Postcard -0.3196 0.608 -0.525 0.599 -1.511 0.872
Vintage & Collectibles/Paper Ephemera/Stamps 0.2652 0.217 1.221 0.222 -0.160 0.691
Vintage & Collectibles/Serving/Casserole 0.9408 0.608 1.547 0.122 -0.251 2.133
Vintage & Collectibles/Serving/Cream and Sugar Set 0.1791 0.433 0.413 0.679 -0.670 1.028
Vintage & Collectibles/Serving/Dinnerware Set 3.624e-15 7.21e-15 0.503 0.615 -1.05e-14 1.78e-14
Vintage & Collectibles/Serving/Glassware 0.0148 0.433 0.034 0.973 -0.835 0.864
Vintage & Collectibles/Serving/Mug 0.4047 0.090 4.481 0.000 0.228 0.582
Vintage & Collectibles/Serving/Plate 0.5832 0.352 1.656 0.098 -0.107 1.273
Vintage & Collectibles/Serving/Salt and Pepper Shakers -0.2401 0.232 -1.035 0.301 -0.695 0.214
Vintage & Collectibles/Serving/Teacup -0.3698 0.608 -0.608 0.543 -1.562 0.822
Vintage & Collectibles/Serving/Teapot 0.0995 0.431 0.231 0.817 -0.745 0.944
Vintage & Collectibles/Serving/Tumbler 0.6135 0.085 7.208 0.000 0.447 0.780
Vintage & Collectibles/Supplies/Bead -0.2600 0.166 -1.571 0.116 -0.585 0.064
Vintage & Collectibles/Supplies/Cabochon -0.2735 0.274 -1.000 0.317 -0.810 0.263
Vintage & Collectibles/Supplies/Chain 0.5057 0.608 0.832 0.406 -0.686 1.698
Vintage & Collectibles/Supplies/Charm 0.5565 0.121 4.585 0.000 0.319 0.794
Vintage & Collectibles/Supplies/Fabric 0.0162 0.205 0.079 0.937 -0.386 0.418
Vintage & Collectibles/Supplies/Finding -0.3196 0.608 -0.525 0.599 -1.511 0.872
Vintage & Collectibles/Supplies/Other 0.4889 0.431 1.135 0.256 -0.355 1.333
Vintage & Collectibles/Supplies/Pattern 0.3501 0.608 0.576 0.565 -0.842 1.542
Vintage & Collectibles/Supplies/Trim 0.2180 0.608 0.358 0.720 -0.974 1.410
Vintage & Collectibles/Supplies/Yarn 0.1796 0.250 0.718 0.473 -0.311 0.670
Vintage & Collectibles/Toy/Action Figure 0.2324 0.051 4.515 0.000 0.132 0.333
Vintage & Collectibles/Toy/Animal 0.0108 0.160 0.067 0.946 -0.304 0.325
Vintage & Collectibles/Toy/Block 0.3323 0.436 0.762 0.446 -0.522 1.187
Vintage & Collectibles/Toy/Car 0.1137 0.131 0.870 0.384 -0.142 0.370
Vintage & Collectibles/Toy/Children 0.0988 0.608 0.162 0.871 -1.093 1.291
Vintage & Collectibles/Toy/Doll 0.4723 0.129 3.649 0.000 0.219 0.726
Vintage & Collectibles/Toy/Electronic -0.1579 0.128 -1.229 0.219 -0.410 0.094
Vintage & Collectibles/Toy/Game 0.4327 0.193 2.239 0.025 0.054 0.812
Vintage & Collectibles/Toy/Other 0.2133 0.187 1.143 0.253 -0.152 0.579
Vintage & Collectibles/Toy/Puzzle -0.4029 0.609 -0.662 0.508 -1.596 0.790
Vintage & Collectibles/Trading Cards/Action, Adventure -1.202e-14 7.04e-15 -1.707 0.088 -2.58e-14 1.78e-15
Vintage & Collectibles/Trading Cards/Animation -0.2788 0.074 -3.744 0.000 -0.425 -0.133
Vintage & Collectibles/Trading Cards/Comic -0.2460 0.279 -0.881 0.378 -0.793 0.301
Vintage & Collectibles/Trading Cards/Historical, Military 1.2439 0.608 2.045 0.041 0.052 2.436
Vintage & Collectibles/Trading Cards/Other 0.3595 0.220 1.631 0.103 -0.073 0.792
Vintage & Collectibles/Trading Cards/Price Guides & Publications 5.399e-15 9.68e-15 0.558 0.577 -1.36e-14 2.44e-14
Vintage & Collectibles/Trading Cards/Sci-Fi, Fantasy 0.0087 0.198 0.044 0.965 -0.379 0.397
Vintage & Collectibles/Trading Cards/Sports -0.2922 0.069 -4.233 0.000 -0.427 -0.157
Vintage & Collectibles/Trading Cards/Vintage -0.0780 0.176 -0.443 0.658 -0.423 0.267
Women/Athletic Apparel/Jackets 0.5390 0.042 12.701 0.000 0.456 0.622
Women/Athletic Apparel/Jerseys 0.2783 0.132 2.116 0.034 0.021 0.536
Women/Athletic Apparel/Other 0.3686 0.122 3.032 0.002 0.130 0.607
Women/Athletic Apparel/Pants, Tights, Leggings 0.5881 0.034 17.133 0.000 0.521 0.655
Women/Athletic Apparel/Shirts & Tops 0.1570 0.038 4.085 0.000 0.082 0.232
Women/Athletic Apparel/Shorts 0.1449 0.037 3.891 0.000 0.072 0.218
Women/Athletic Apparel/Skirts, Skorts & Dresses 0.1329 0.081 1.631 0.103 -0.027 0.293
Women/Athletic Apparel/Snowsuits & Bibs 1.0571 0.441 2.396 0.017 0.192 1.922
Women/Athletic Apparel/Socks -0.2711 0.053 -5.122 0.000 -0.375 -0.167
Women/Athletic Apparel/Sports Bras 0.0504 0.041 1.235 0.217 -0.030 0.131
Women/Athletic Apparel/Tracksuits & Sweats 0.5911 0.044 13.357 0.000 0.504 0.678
Women/Athletic Apparel/Vests 0.4134 0.274 1.506 0.132 -0.124 0.951
Women/Coats & Jackets/Cape 0.4111 0.278 1.476 0.140 -0.135 0.957
Women/Coats & Jackets/Fleece Jacket 0.5466 0.056 9.701 0.000 0.436 0.657
Women/Coats & Jackets/Jean Jacket 0.5151 0.072 7.142 0.000 0.374 0.656
Women/Coats & Jackets/Military 0.7464 0.105 7.134 0.000 0.541 0.951
Women/Coats & Jackets/Motorcycle 0.6413 0.081 7.871 0.000 0.482 0.801
Women/Coats & Jackets/Other 0.5838 0.077 7.622 0.000 0.434 0.734
Women/Coats & Jackets/Parka 1.3483 0.131 10.264 0.000 1.091 1.606
Women/Coats & Jackets/Peacoat 0.5139 0.109 4.705 0.000 0.300 0.728
Women/Coats & Jackets/Poncho 0.0608 0.431 0.141 0.888 -0.783 0.905
Women/Coats & Jackets/Puffer 0.8412 0.092 9.191 0.000 0.662 1.021
Women/Coats & Jackets/Raincoat 0.4749 0.106 4.488 0.000 0.268 0.682
Women/Coats & Jackets/Trench 0.5677 0.116 4.910 0.000 0.341 0.794
Women/Coats & Jackets/Vest 0.4265 0.057 7.430 0.000 0.314 0.539
Women/Coats & Jackets/Windbreaker 0.7280 0.060 12.038 0.000 0.610 0.847
Women/Coats & Jackets/Wool 0.9558 0.193 4.946 0.000 0.577 1.335
Women/Dresses/Above Knee, Mini 0.2991 0.037 8.037 0.000 0.226 0.372
Women/Dresses/Asymmetrical Hem 0.9800 0.051 19.115 0.000 0.880 1.081
Women/Dresses/Full-Length 0.7268 0.047 15.538 0.000 0.635 0.818
Women/Dresses/Knee-Length 0.5267 0.038 13.763 0.000 0.452 0.602
Women/Dresses/Mid-Calf 0.6475 0.081 8.043 0.000 0.490 0.805
Women/Dresses/Other 0.4625 0.085 5.465 0.000 0.297 0.628
Women/Jeans/Boot Cut 0.3685 0.048 7.610 0.000 0.274 0.463
Women/Jeans/Boyfriend 0.5964 0.088 6.775 0.000 0.424 0.769
Women/Jeans/Capri, Cropped 0.2112 0.072 2.920 0.004 0.069 0.353
Women/Jeans/Cargo 0.1183 0.432 0.274 0.784 -0.728 0.964
Women/Jeans/Flare 0.3951 0.089 4.450 0.000 0.221 0.569
Women/Jeans/Leggings 0.5978 0.044 13.576 0.000 0.512 0.684
Women/Jeans/Other 0.1825 0.081 2.241 0.025 0.023 0.342
Women/Jeans/Overalls 0.3484 0.121 2.883 0.004 0.112 0.585
Women/Jeans/Relaxed 0.5338 0.255 2.096 0.036 0.035 1.033
Women/Jeans/Slim, Skinny 0.3921 0.040 9.896 0.000 0.314 0.470
Women/Jeans/Straight Leg 0.3514 0.072 4.871 0.000 0.210 0.493
Women/Jeans/Wide Leg 0.5378 0.356 1.510 0.131 -0.160 1.236
Women/Jewelry/Bracelets -0.0529 0.040 -1.339 0.180 -0.130 0.025
Women/Jewelry/Earrings -0.2611 0.040 -6.530 0.000 -0.339 -0.183
Women/Jewelry/Necklaces -0.1940 0.037 -5.259 0.000 -0.266 -0.122
Women/Jewelry/Rings 0.0889 0.040 2.219 0.026 0.010 0.167
Women/Maternity/Athletic Apparel 1.0524 0.362 2.905 0.004 0.342 1.762
Women/Maternity/Coats & Jackets 1.328e-14 9.15e-15 1.451 0.147 -4.66e-15 3.12e-14
Women/Maternity/Dresses 0.5545 0.082 6.800 0.000 0.395 0.714
Women/Maternity/Jeans 0.3733 0.134 2.787 0.005 0.111 0.636
Women/Maternity/Other 0.2184 0.165 1.323 0.186 -0.105 0.542
Women/Maternity/Pants 0.3547 0.128 2.769 0.006 0.104 0.606
Women/Maternity/Skirts 0.3621 0.358 1.011 0.312 -0.340 1.064
Women/Maternity/Sweaters -0.0064 0.352 -0.018 0.985 -0.697 0.684
Women/Maternity/Tops & Blouses 0.1503 0.091 1.645 0.100 -0.029 0.329
Women/Other/Other 0.2870 0.043 6.640 0.000 0.202 0.372
Women/Pants/Capris, Cropped 0.2218 0.062 3.574 0.000 0.100 0.343
Women/Pants/Cargo 0.0956 0.237 0.403 0.687 -0.369 0.560
Women/Pants/Casual Pants 0.2112 0.056 3.743 0.000 0.101 0.322
Women/Pants/Corduroys -0.0267 0.306 -0.087 0.931 -0.626 0.573
Women/Pants/Dress Pants 0.2586 0.072 3.569 0.000 0.117 0.401
Women/Pants/Khakis, Chinos 0.1328 0.117 1.138 0.255 -0.096 0.361
Women/Pants/Leather 0.1621 0.608 0.266 0.790 -1.030 1.355
Women/Pants/Linen 0.3306 0.208 1.589 0.112 -0.077 0.738
Women/Pants/Other 0.2609 0.061 4.254 0.000 0.141 0.381
Women/Shoes/Athletic 0.9414 0.040 23.295 0.000 0.862 1.021
Women/Shoes/Boots 0.7353 0.038 19.348 0.000 0.661 0.810
Women/Shoes/Fashion Sneakers 0.7980 0.045 17.810 0.000 0.710 0.886
Women/Shoes/Flats 0.3063 0.046 6.686 0.000 0.217 0.396
Women/Shoes/Loafers & Slip-Ons 0.3749 0.051 7.395 0.000 0.276 0.474
Women/Shoes/Mules & Clogs 0.7065 0.092 7.652 0.000 0.526 0.888
Women/Shoes/Other 0.4766 0.102 4.675 0.000 0.277 0.676
Women/Shoes/Outdoor 0.8946 0.355 2.522 0.012 0.199 1.590
Women/Shoes/Oxfords 0.2978 0.172 1.727 0.084 -0.040 0.636
Women/Shoes/Pumps 0.4466 0.044 10.158 0.000 0.360 0.533
Women/Shoes/Sandals 0.3855 0.039 9.862 0.000 0.309 0.462
Women/Shoes/Slippers 0.1952 0.062 3.129 0.002 0.073 0.317
Women/Shoes/Work & Safety 0.7858 0.251 3.132 0.002 0.294 1.278
Women/Skirts/A-Line 0.4434 0.093 4.760 0.000 0.261 0.626
Women/Skirts/Asymmetrical 0.0489 0.225 0.218 0.827 -0.391 0.489
Women/Skirts/Full Skirt 0.2124 0.123 1.726 0.084 -0.029 0.454
Women/Skirts/Maxi 0.4346 0.059 7.427 0.000 0.320 0.549
Women/Skirts/Mini 0.0700 0.054 1.297 0.195 -0.036 0.176
Women/Skirts/Other 0.1043 0.130 0.800 0.424 -0.151 0.360
Women/Skirts/Pleated 0.6318 0.116 5.453 0.000 0.405 0.859
Women/Skirts/Straight, Pencil 0.3297 0.052 6.356 0.000 0.228 0.431
Women/Skirts/Wrap -0.7265 0.608 -1.195 0.232 -1.918 0.465
Women/Suits & Blazers/Blazer 0.3075 0.072 4.277 0.000 0.167 0.448
Women/Suits & Blazers/Dress Suit 1.1938 0.386 3.091 0.002 0.437 1.951
Women/Suits & Blazers/Other 0.0796 0.310 0.257 0.797 -0.528 0.687
Women/Suits & Blazers/Pant Suit 0.3906 0.105 3.724 0.000 0.185 0.596
Women/Suits & Blazers/Skirt Suit 0.6171 0.316 1.955 0.051 -0.002 1.236
Women/Sweaters/Cardigan 0.4498 0.041 10.962 0.000 0.369 0.530
Women/Sweaters/Collared 0.5658 0.104 5.430 0.000 0.362 0.770
Women/Sweaters/Cowl Neck 0.6389 0.095 6.727 0.000 0.453 0.825
Women/Sweaters/Crewneck 0.3971 0.043 9.309 0.000 0.313 0.481
Women/Sweaters/Full Zip 0.4285 0.054 7.910 0.000 0.322 0.535
Women/Sweaters/Henley 6.905e-16 6.63e-15 0.104 0.917 -1.23e-14 1.37e-14
Women/Sweaters/Hooded 0.4184 0.040 10.353 0.000 0.339 0.498
Women/Sweaters/Other 0.3541 0.098 3.621 0.000 0.162 0.546
Women/Sweaters/Poncho 0.6772 0.125 5.435 0.000 0.433 0.921
Women/Sweaters/Scoop Neck 0.2954 0.108 2.744 0.006 0.084 0.506
Women/Sweaters/Shrug 0.2048 0.275 0.744 0.457 -0.335 0.745
Women/Sweaters/Sweatercoat 1.2304 0.137 9.005 0.000 0.963 1.498
Women/Sweaters/Tunic 0.4547 0.181 2.506 0.012 0.099 0.810
Women/Sweaters/Turtleneck, Mock 0.3225 0.126 2.550 0.011 0.075 0.570
Women/Sweaters/V-Neck 0.2080 0.088 2.353 0.019 0.035 0.381
Women/Sweaters/Vest, Sleeveless 0.6521 0.122 5.359 0.000 0.414 0.891
Women/Sweaters/Wrap 0.5721 0.274 2.089 0.037 0.035 1.109
Women/Swimwear/Beach Accessories 0.2299 0.081 2.836 0.005 0.071 0.389
Women/Swimwear/Cover-Ups 0.1358 0.081 1.677 0.094 -0.023 0.294
Women/Swimwear/One-Piece 0.3123 0.051 6.169 0.000 0.213 0.411
Women/Swimwear/Two-Piece 0.1734 0.039 4.428 0.000 0.097 0.250
Women/Tops & Blouses/Blouse 0.0613 0.037 1.659 0.097 -0.011 0.134
Women/Tops & Blouses/Button Down Shirt 0.0343 0.051 0.671 0.503 -0.066 0.135
Women/Tops & Blouses/Halter -0.0284 0.069 -0.410 0.682 -0.164 0.107
Women/Tops & Blouses/Knit Top 0.2125 0.052 4.054 0.000 0.110 0.315
Women/Tops & Blouses/Other 0.2538 0.058 4.365 0.000 0.140 0.368
Women/Tops & Blouses/Polo Shirt 0.0278 0.103 0.269 0.788 -0.175 0.230
Women/Tops & Blouses/T-Shirts 0.1457 0.035 4.194 0.000 0.078 0.214
Women/Tops & Blouses/Tank, Cami -0.0502 0.037 -1.362 0.173 -0.123 0.022
Women/Tops & Blouses/Tunic 0.5019 0.043 11.770 0.000 0.418 0.585
Women/Tops & Blouses/Turtleneck -0.2060 0.178 -1.156 0.248 -0.555 0.143
Women/Tops & Blouses/Wrap 0.4735 0.106 4.478 0.000 0.266 0.681
Women/Underwear/Bras 0.1023 0.037 2.759 0.006 0.030 0.175
Women/Underwear/G-Strings & Thongs -0.2069 0.064 -3.219 0.001 -0.333 -0.081
Women/Underwear/Other -0.0005 0.071 -0.007 0.994 -0.139 0.138
Women/Underwear/Panties -0.1064 0.042 -2.554 0.011 -0.188 -0.025
Women/Underwear/Thermal Underwear 0.8234 0.172 4.797 0.000 0.487 1.160
Women/Women's Accessories/Belts -0.1054 0.079 -1.339 0.180 -0.260 0.049
Women/Women's Accessories/Hair Accessories 0.0625 0.046 1.357 0.175 -0.028 0.153
Women/Women's Accessories/Hats -0.0346 0.045 -0.764 0.445 -0.123 0.054
Women/Women's Accessories/Other -0.1461 0.053 -2.773 0.006 -0.249 -0.043
Women/Women's Accessories/Scarves & Wraps -0.1022 0.056 -1.828 0.068 -0.212 0.007
Women/Women's Accessories/Sunglasses 0.0949 0.045 2.108 0.035 0.007 0.183
Women/Women's Accessories/Wallets 0.1673 0.040 4.219 0.000 0.090 0.245
Women/Women's Accessories/Watches 0.6781 0.050 13.614 0.000 0.581 0.776
Women/Women's Handbags/Backpack Style 0.6872 0.047 14.657 0.000 0.595 0.779
Women/Women's Handbags/Baguette 0.1112 0.353 0.315 0.753 -0.581 0.804
Women/Women's Handbags/Cosmetic Bags -0.1897 0.051 -3.729 0.000 -0.289 -0.090
Women/Women's Handbags/Hobo 0.9614 0.142 6.750 0.000 0.682 1.241
Women/Women's Handbags/Messenger & Crossbody 0.6217 0.042 14.825 0.000 0.539 0.704
Women/Women's Handbags/Other 0.2528 0.070 3.620 0.000 0.116 0.390
Women/Women's Handbags/Satchel 0.9988 0.061 16.295 0.000 0.879 1.119
Women/Women's Handbags/Shoulder Bag 0.6664 0.039 16.995 0.000 0.590 0.743
Women/Women's Handbags/Totes & Shoppers 0.5349 0.041 13.075 0.000 0.455 0.615
3.1 Phillip Lim 4.3206 0.352 12.261 0.000 3.630 5.011
47 Brand 3.3113 0.251 13.206 0.000 2.820 3.803
5.11 Tactical 2.7049 0.612 4.419 0.000 1.505 3.905
5th & Ocean 1.968e-14 8.35e-15 2.356 0.018 3.31e-15 3.6e-14
7 For All Mankind® 3.2573 0.125 26.147 0.000 3.013 3.502
90 Degree By Reflex 2.3425 0.431 5.438 0.000 1.498 3.187
A Bathing Ape 4.1156 0.172 23.888 0.000 3.778 4.453
A Pea In The Pod 2.6817 0.290 9.250 0.000 2.114 3.250
A Plus Child Supply 2.5020 0.354 7.066 0.000 1.808 3.196
A Wish Come True 4.7546 0.621 7.658 0.000 3.538 5.972
A&R Sports 2.9891 0.609 4.911 0.000 1.796 4.182
A+D 2.0996 0.433 4.852 0.000 1.251 2.948
A. Byer 2.6771 0.352 7.596 0.000 1.986 3.368
A.K.A 2.4478 0.608 4.024 0.000 1.256 3.640
A/X Armani Exchange 3.6991 0.609 6.075 0.000 2.506 4.893
AA Aquarium 1.5743 0.612 2.573 0.010 0.375 2.774
AB Studio 2.4921 0.309 8.070 0.000 1.887 3.097
ABC Studios -1.97e-14 1.03e-14 -1.918 0.055 -3.98e-14 4.33e-16
ABS by Allen Schwartz 2.0302 0.608 3.337 0.001 0.838 3.223
ADAM 2.1510 0.434 4.959 0.000 1.301 3.001
AERIN -1.314e-14 8.16e-15 -1.612 0.107 -2.91e-14 2.84e-15
AG Adriano Goldschmied 3.6866 0.251 14.680 0.000 3.194 4.179
AGB 2.8999 0.608 4.767 0.000 1.707 4.092
AKIRA 3.5521 0.435 8.160 0.000 2.699 4.405
AKOO 2.5921 0.614 4.222 0.000 1.389 3.795
ALDO 2.9080 0.110 26.477 0.000 2.693 3.123
ALEX AND ANI 3.3944 0.064 52.939 0.000 3.269 3.520
ALLOY 2.7677 0.608 4.549 0.000 1.575 3.960
ALO Yoga 3.8729 0.431 8.991 0.000 3.029 4.717
AMD 3.3991 0.315 10.797 0.000 2.782 4.016
AMIA 2.9694 0.608 4.880 0.000 1.777 4.162
AND1 2.0559 0.609 3.378 0.001 0.863 3.249
ART 2.5417 0.220 11.576 0.000 2.111 2.972
ASICS 2.8736 0.107 26.845 0.000 2.664 3.083
ASOS 2.8616 0.124 23.075 0.000 2.618 3.105
ASTR 3.3184 0.608 5.454 0.000 2.126 4.511
ASUS 3.2246 0.184 17.523 0.000 2.864 3.585
AT-A-GLANCE 3.5262 0.359 9.815 0.000 2.822 4.230
Abbott 4.6712 0.613 7.619 0.000 3.469 5.873
Abercrombie & Fitch 2.8241 0.055 51.307 0.000 2.716 2.932
Abu Garcia 4.0264 0.619 6.509 0.000 2.814 5.239
Acacia Swimwear 4.4008 0.135 32.640 0.000 4.137 4.665
Academy 3.1238 0.609 5.133 0.000 1.931 4.316
Accessory Innovations 2.0322 0.613 3.313 0.001 0.830 3.235
Accessory Workshop 2.6767 0.307 8.732 0.000 2.076 3.278
Acer 3.0329 0.279 10.890 0.000 2.487 3.579
Act 4.332e-15 1.02e-14 0.424 0.672 -1.57e-14 2.44e-14
Active 2.0652 0.608 3.395 0.001 0.873 3.258
Activision 3.3661 0.609 5.527 0.000 2.172 4.560
Adams Golf 2.6639 0.654 4.074 0.000 1.382 3.946
Adidas 3.1083 0.041 75.052 0.000 3.027 3.189
Adora 3.9223 0.609 6.442 0.000 2.729 5.116
Adrianna Papell 3.2069 0.306 10.478 0.000 2.607 3.807
Adrienne Landau 3.2682 0.431 7.576 0.000 2.423 4.114
Adrienne Vittadini 2.7334 0.431 6.338 0.000 1.888 3.579
Advanced Healthcare Distributors 3.4577 0.255 13.541 0.000 2.957 3.958
Advantage 3.4714 0.612 5.673 0.000 2.272 4.671
AeroPress 2.6064 0.435 5.989 0.000 1.753 3.459
Aeropostale 2.5897 0.060 43.264 0.000 2.472 2.707
Aerosoles 2.6485 0.274 9.669 0.000 2.112 3.185
Affliction 3.2862 0.109 30.070 0.000 3.072 3.500
Agent Provocateur 3.9795 0.608 6.541 0.000 2.787 5.172
Air Force 3.2001 0.275 11.647 0.000 2.662 3.739
Air Jordan 3.6463 0.054 67.919 0.000 3.541 3.752
Air Wick 2.7859 0.286 9.755 0.000 2.226 3.346
Airwalk 3.0364 0.623 4.873 0.000 1.815 4.258
Alan Flusser 2.9127 0.745 3.910 0.000 1.453 4.373
Albert Nipon 6.48e-15 9.49e-15 0.683 0.495 -1.21e-14 2.51e-14
Alberto Makali 3.2253 0.608 5.301 0.000 2.033 4.418
Alegro 3.1920 0.657 4.858 0.000 1.904 4.480
Alex Toys 3.6809 0.435 8.457 0.000 2.828 4.534
Alexander Julian 3.91e-15 8.45e-15 0.463 0.643 -1.26e-14 2.05e-14
Alexander McQueen 4.5172 0.353 12.808 0.000 3.826 5.208
Alexander Wang 4.4864 0.431 10.413 0.000 3.642 5.331
Alexis Brittar 5.1944 0.608 8.538 0.000 4.002 6.387
Alfani 2.9507 0.237 12.445 0.000 2.486 3.415
Alfred Angelo 3.0235 0.433 6.980 0.000 2.174 3.873
Alfred Dunner 2.2593 0.612 3.694 0.000 1.060 3.458
Ali & Kris 1.673e-14 1.01e-14 1.651 0.099 -3.13e-15 3.66e-14
Alice + Olivia 3.5329 0.608 5.806 0.000 2.340 4.726
Alife 3.5545 0.609 5.834 0.000 2.360 4.749
All 3.2003 0.130 24.637 0.000 2.946 3.455
AllSaints 3.6843 0.368 10.009 0.000 2.963 4.406
Almay 2.5473 0.192 13.301 0.000 2.172 2.923
Almost Famous 2.5239 0.157 16.125 0.000 2.217 2.831
Alo 3.8410 0.250 15.348 0.000 3.350 4.331
Alpinestars 3.1107 0.609 5.108 0.000 1.917 4.304
Alstyle Apparel 2.5422 0.431 5.896 0.000 1.697 3.387
Altar'd State 3.3730 0.352 9.573 0.000 2.682 4.064
Altec Lansing 3.1079 0.357 8.714 0.000 2.409 3.807
Alternative 2.8271 0.431 6.562 0.000 1.983 3.671
Alternative Apparel 2.7576 0.608 4.534 0.000 1.565 3.950
Altra 2.2672 0.609 3.725 0.000 1.074 3.460
Always 3.0426 0.221 13.749 0.000 2.609 3.476
Amazon 2.7620 0.354 7.804 0.000 2.068 3.456
AmazonBasics 3.0935 0.109 28.370 0.000 2.880 3.307
Ambi 2.5189 0.608 4.140 0.000 1.326 3.711
Ambiance Apparel 2.6999 0.173 15.646 0.000 2.362 3.038
Ambrielle 2.7354 0.306 8.936 0.000 2.135 3.335
Ameda 3.2873 0.366 8.977 0.000 2.570 4.005
American Apparel 3.0119 0.069 43.799 0.000 2.877 3.147
American Boy & Girl 3.3446 0.063 52.697 0.000 3.220 3.469
American Eagle 2.7900 0.039 71.122 0.000 2.713 2.867
American Fighter 3.4570 0.196 17.644 0.000 3.073 3.841
American Girl ® 3.4649 0.070 49.731 0.000 3.328 3.601
American Rag 2.6659 0.152 17.499 0.000 2.367 2.964
Amsoil -2.725e-14 8.07e-15 -3.376 0.001 -4.31e-14 -1.14e-14
Anastasia Beverly Hills 3.1586 0.060 52.890 0.000 3.042 3.276
Anchor Blue 2.2249 0.609 3.652 0.000 1.031 3.419
Anchor Hocking 2.4344 0.246 9.895 0.000 1.952 2.917
Andrea by Sadek 2.9716 0.702 4.232 0.000 1.595 4.348
Andrew Christian 2.5703 0.859 2.991 0.003 0.886 4.255
Andrew Marc 3.5441 0.614 5.771 0.000 2.340 4.748
Angelcare 2.3782 0.641 3.711 0.000 1.122 3.634
Angelina 3.5109 0.608 5.771 0.000 2.318 4.703
Angels 2.2292 0.354 6.300 0.000 1.536 2.923
Angie 2.7952 0.353 7.911 0.000 2.103 3.488
Angry Birds 2.9352 0.609 4.819 0.000 1.741 4.129
Animal Planet 2.4180 0.609 3.971 0.000 1.225 3.611
Ann Taylor 2.6989 0.137 19.683 0.000 2.430 2.968
Ann Taylor LOFT 2.6625 0.076 35.022 0.000 2.513 2.811
Annabelle 2.6007 0.608 4.275 0.000 1.408 3.793
Anne Cole 2.8566 0.609 4.688 0.000 1.662 4.051
Anne Klein 3.0261 0.161 18.769 0.000 2.710 3.342
Anthropologie 3.2754 0.077 42.598 0.000 3.125 3.426
Antilia Femme 2.7677 0.431 6.422 0.000 1.923 3.612
Antique Rivet 2.6369 0.645 4.087 0.000 1.372 3.902
Antonio Melani 3.0732 0.274 11.223 0.000 2.536 3.610
Anvil 2.6577 0.314 8.463 0.000 2.042 3.273
Apostrophe 2.8369 0.609 4.661 0.000 1.644 4.030
Apple 3.4917 0.040 87.799 0.000 3.414 3.570
Apple Bottoms 4.0464 0.233 17.335 0.000 3.589 4.504
Apt. 2.5963 0.167 15.558 0.000 2.269 2.923
Apt. 9 2.3558 0.274 8.603 0.000 1.819 2.892
Aqua 3.2003 0.608 5.260 0.000 2.008 4.393
Aqua Lung Sport 3.1908 0.616 5.178 0.000 1.983 4.399
Aquaphor 3.1964 0.651 4.911 0.000 1.921 4.472
Aquatopia 2.7171 0.638 4.257 0.000 1.466 3.968
Aqueon 4.3896 0.612 7.173 0.000 3.190 5.589
Arbonne 3.2564 0.196 16.654 0.000 2.873 3.640
Arc'teryx 3.6500 0.307 11.888 0.000 3.048 4.252
Architect 2.3239 0.609 3.815 0.000 1.130 3.518
Ardell 2.8264 0.141 20.101 0.000 2.551 3.102
Arden B 3.1644 0.306 10.354 0.000 2.565 3.763
Ariat 3.5116 0.173 20.307 0.000 3.173 3.851
Aritzia 3.9369 0.432 9.104 0.000 3.089 4.784
Ariya -8.573e-15 8.23e-15 -1.042 0.298 -2.47e-14 7.56e-15
Arizona 2.7025 0.156 17.271 0.000 2.396 3.009
Arizona Jean Company 2.5352 0.179 14.181 0.000 2.185 2.886
Ark & Co 2.6998 0.431 6.263 0.000 1.855 3.545
Arm & Hammer 1.5924 0.610 2.612 0.009 0.398 2.787
Armani 4.8221 0.609 7.914 0.000 3.628 6.016
Armani Jeans 3.8525 0.441 8.738 0.000 2.988 4.717
Aroma 2.6987 0.308 8.755 0.000 2.095 3.303
Arrow 2.6454 0.621 4.262 0.000 1.429 3.862
Artful Dodger -1.395e-15 5.13e-15 -0.272 0.786 -1.14e-14 8.65e-15
As Seen on TV 3.5528 0.609 5.831 0.000 2.359 4.747
Ashley B 2.8558 0.609 4.693 0.000 1.663 4.048
Ashley Stewart 2.6983 0.233 11.586 0.000 2.242 3.155
Aspen Pet 3.6193 0.610 5.931 0.000 2.423 4.815
Athleta 3.0056 0.097 31.087 0.000 2.816 3.195
Athletech 2.1405 0.612 3.497 0.000 0.941 3.340
Atmosphere 2.5214 0.609 4.140 0.000 1.328 3.715
Attention 1.4566 0.608 2.395 0.017 0.264 2.649
Audi 3.2420 0.613 5.292 0.000 2.041 4.443
Audio-Technica 5.2756 0.610 8.653 0.000 4.081 6.471
AudioSource 1.5926 0.611 2.607 0.009 0.395 2.790
August Silk 3.0764 0.431 7.132 0.000 2.231 3.922
Augusta Sportswear 2.9355 0.612 4.795 0.000 1.736 4.135
Aurora World 2.8690 0.354 8.111 0.000 2.176 3.562
Authentic Original Vintage Style -4.412e-15 7.57e-15 -0.583 0.560 -1.92e-14 1.04e-14
Aveda 3.0532 0.152 20.124 0.000 2.756 3.351
Aveeno 3.4544 0.327 10.559 0.000 2.813 4.096
Avent 2.7263 0.199 13.691 0.000 2.336 3.117
Avenue 2.9613 0.252 11.766 0.000 2.468 3.455
Avery 2.9206 0.435 6.709 0.000 2.067 3.774
Avia 2.4188 0.250 9.658 0.000 1.928 2.910
Avirex 2.6929 0.609 4.425 0.000 1.500 3.886
Avon 2.6879 0.079 33.979 0.000 2.533 2.843
Axe 2.9321 0.355 8.267 0.000 2.237 3.627
A|X Armani Exchange 3.1267 0.152 20.548 0.000 2.828 3.425
Aéropostale 2.5504 0.134 19.030 0.000 2.288 2.813
B. Darlin 3.2895 0.306 10.753 0.000 2.690 3.889
B.swim 2.7078 0.609 4.450 0.000 1.515 3.900
BB 3.8290 0.226 16.971 0.000 3.387 4.271
BB Dakota 2.8873 0.353 8.186 0.000 2.196 3.579
BCBG 2.6972 0.306 8.820 0.000 2.098 3.297
BCBGMAXAZRIA 3.1440 0.124 25.303 0.000 2.900 3.388
BCBGeneration 2.9382 0.137 21.419 0.000 2.669 3.207
BCX 2.5558 0.435 5.876 0.000 1.703 3.408
BDG 2.9870 0.167 17.884 0.000 2.660 3.314
BEARPAW 2.7520 0.608 4.523 0.000 1.559 3.945
BISOU BISOU 2.6074 0.353 7.387 0.000 1.916 3.299
BKE 3.1884 0.173 18.379 0.000 2.848 3.528
BLANKNYC 2.3324 0.609 3.827 0.000 1.138 3.527
BMW 2.9480 0.610 4.830 0.000 1.752 4.144
BOSS HUGO BOSS 3.3651 0.307 10.954 0.000 2.763 3.967
BOYS + ARROWS 4.8932 0.608 8.041 0.000 3.701 6.086
BUNN 3.4270 0.622 5.511 0.000 2.208 4.646
Babies R Us 2.9066 0.269 10.800 0.000 2.379 3.434
Babies R Us Plush 2.4790 0.794 3.124 0.002 0.924 4.034
Babolat -1.59e-14 8.35e-15 -1.904 0.057 -3.23e-14 4.67e-16
Baby Brezza 4.7677 0.441 10.820 0.000 3.904 5.631
Baby Bullet -1.497e-15 9.39e-15 -0.159 0.873 -1.99e-14 1.69e-14
Baby Einstein 2.9935 0.312 9.584 0.000 2.381 3.606
Baby Jogger 3.9915 0.481 8.298 0.000 3.049 4.934
Baby Phat 2.7160 0.251 10.833 0.000 2.225 3.207
Baby Trend 3.4004 0.432 7.874 0.000 2.554 4.247
BabyBjorn 2.9719 0.309 9.625 0.000 2.367 3.577
BabyGanics 1.9439 0.620 3.137 0.002 0.729 3.158
Bachmann Trains 2.6077 0.609 4.283 0.000 1.414 3.801
Badgley Mischka 3.9306 0.353 11.138 0.000 3.239 4.622
Baggallini 2.6773 0.609 4.398 0.000 1.484 3.870
Bailey -1.199e-14 8.84e-15 -1.356 0.175 -2.93e-14 5.34e-15
Bailey 44 2.7355 0.608 4.497 0.000 1.543 3.928
Baker by Ted Baker -7.351e-15 6.66e-15 -1.103 0.270 -2.04e-14 5.71e-15
Bakers 2.7223 0.609 4.471 0.000 1.529 3.916
Balboa Baby 3.3840 0.646 5.241 0.000 2.119 4.649
Balenciaga 4.6438 0.353 13.167 0.000 3.953 5.335
Ball 2.9766 0.353 8.438 0.000 2.285 3.668
Bally 2.2413 0.608 3.684 0.000 1.049 3.434
Balmain 3.9052 0.275 14.226 0.000 3.367 4.443
Bamboobies 2.4317 0.619 3.927 0.000 1.218 3.645
Banana Republic 2.7856 0.076 36.493 0.000 2.636 2.935
Bandai 3.4733 0.187 18.532 0.000 3.106 3.841
Bandolino 2.7774 0.274 10.127 0.000 2.240 3.315
Banzai 2.4031 0.622 3.863 0.000 1.184 3.622
Bape 3.8391 0.133 28.957 0.000 3.579 4.099
Baratza 1.493e-14 6.23e-15 2.397 0.017 2.72e-15 2.71e-14
Barbasol 2.2856 0.610 3.749 0.000 1.091 3.480
Barbie 2.8694 0.080 35.854 0.000 2.713 3.026
Bare Escentuals 2.9817 0.103 28.910 0.000 2.780 3.184
Bare Minerals 2.9608 0.609 4.859 0.000 1.766 4.155
Basic Editions 2.3046 0.608 3.789 0.000 1.112 3.497
Bass 2.9798 0.233 12.804 0.000 2.524 3.436
Bath & Body Works 2.8554 0.040 72.193 0.000 2.778 2.933
Batman 2.6039 0.434 6.000 0.000 1.753 3.455
Bauer 3.31e-14 1.06e-14 3.129 0.002 1.24e-14 5.38e-14
Bausch & Lomb 2.2328 0.355 6.295 0.000 1.538 2.928
Bay Island 3.1111 0.431 7.215 0.000 2.266 3.956
Bay Studio 1.8924 0.609 3.109 0.002 0.699 3.085
BeBop 2.4686 0.306 8.075 0.000 1.869 3.068
Beaba -2.035e-15 9.61e-15 -0.212 0.832 -2.09e-14 1.68e-14
Beach Bunny 4.8841 0.233 20.976 0.000 4.428 5.340
Beats 4.5029 0.080 56.406 0.000 4.346 4.659
Beats by Dr. Dre 4.4212 0.087 50.938 0.000 4.251 4.591
BeautiControl 3.2980 0.434 7.604 0.000 2.448 4.148
Bebe 3.1678 0.060 52.449 0.000 3.049 3.286
Bebe Au Lait 2.8261 0.446 6.334 0.000 1.952 3.701
Becca 3.3991 0.274 12.401 0.000 2.862 3.936
Becca Cosmetics 3.2099 0.431 7.448 0.000 2.365 4.055
Bed Stu 3.709e-14 8.64e-15 4.291 0.000 2.01e-14 5.4e-14
Beechnut 2.8438 0.441 6.452 0.000 1.980 3.708
Belkin 2.3127 0.431 5.361 0.000 1.467 3.158
Bella 3.2659 0.306 10.687 0.000 2.667 3.865
Bella Cucina 2.5589 0.439 5.824 0.000 1.698 3.420
Belle by Sigerson Morrison -3.081e-16 9.75e-15 -0.032 0.975 -1.94e-14 1.88e-14
Belly Bandit® 3.4172 0.264 12.955 0.000 2.900 3.934
Ben Nye 2.6458 0.161 16.465 0.000 2.331 2.961
Ben Sherman 2.6288 0.435 6.043 0.000 1.776 3.481
Bench 3.1760 0.431 7.364 0.000 2.331 4.021
Benefit 3.0493 0.058 52.631 0.000 2.936 3.163
Benetton 1.284e-14 1.02e-14 1.253 0.210 -7.24e-15 3.29e-14
Berkley 1.9204 0.619 3.104 0.002 0.708 3.133
Bernardo 2.8009 0.613 4.571 0.000 1.600 4.002
Betsey Johnson 2.9680 0.059 50.116 0.000 2.852 3.084
Betsey Johnson Label 2.4151 0.609 3.965 0.000 1.221 3.609
Betsy & Adam 3.5565 0.608 5.845 0.000 2.364 4.749
Bettie Page -7.577e-15 9.79e-15 -0.774 0.439 -2.68e-14 1.16e-14
Betty Boop 2.4684 0.233 10.578 0.000 2.011 2.926
Beverly Hills Polo Club 3.0565 0.434 7.037 0.000 2.205 3.908
Beyond Yoga 3.2015 0.306 10.478 0.000 2.603 3.800
Bh 1.802e-14 1e-14 1.799 0.072 -1.62e-15 3.76e-14
Bic 2.5567 0.190 13.458 0.000 2.184 2.929
Big Buddha 2.2948 0.609 3.771 0.000 1.102 3.488
Big Star 3.2889 0.139 23.694 0.000 3.017 3.561
Bike 2.3402 0.610 3.839 0.000 1.145 3.535
Bikerwear 2.0037 0.610 3.287 0.001 0.809 3.199
Billabong 2.6526 0.112 23.720 0.000 2.433 2.872
Billionaire Boys Club 3.7185 0.609 6.111 0.000 2.526 4.911
Billionaire Boys Club and Ice Cream 3.3425 0.609 5.487 0.000 2.148 4.537
Billy Reid 3.0948 0.618 5.009 0.000 1.884 4.306
Biore 2.2676 0.608 3.727 0.000 1.075 3.460
Bioworld 3.0001 0.307 9.779 0.000 2.399 3.601
Birkenstock 3.6912 0.095 38.927 0.000 3.505 3.877
Bissell 3.9306 0.610 6.441 0.000 2.734 5.127
Black & Decker 2.4568 0.279 8.821 0.000 1.911 3.003
Black Rivet 3.4264 0.609 5.631 0.000 2.234 4.619
Blackmilk 3.5923 0.608 5.906 0.000 2.400 4.784
Blair -8.076e-15 8.57e-15 -0.942 0.346 -2.49e-14 8.72e-15
Blanc Noir -5.638e-15 8.51e-15 -0.663 0.508 -2.23e-14 1.1e-14
Blendtec 5.1847 0.365 14.202 0.000 4.469 5.900
Blinc 2.6048 0.431 6.045 0.000 1.760 3.449
Blip Toys -1.582e-14 8.07e-15 -1.960 0.050 -3.16e-14 1.38e-18
Blizzard 2.6807 0.275 9.763 0.000 2.143 3.219
Blooming Bath 3.2432 0.638 5.081 0.000 1.992 4.494
Bloomingdale's 3.8175 0.614 6.216 0.000 2.614 5.021
Blowfish 2.6814 0.431 6.223 0.000 1.837 3.526
Blue Asphalt 2.5892 0.612 4.234 0.000 1.391 3.788
Blue Buffalo 4.3405 0.612 7.094 0.000 3.141 5.540
Blue Life 3.8118 0.353 10.795 0.000 3.120 4.504
Blue Microphones 3.4152 0.413 8.279 0.000 2.607 4.224
Blunt Power 3.2124 0.610 5.268 0.000 2.017 4.407
Bob Mackie 2.4527 0.610 4.021 0.000 1.257 3.648
Bobbi Brown 3.4077 0.134 25.430 0.000 3.145 3.670
Bobbie Brooks 2.3131 0.218 10.617 0.000 1.886 2.740
Bobeau 2.1170 0.609 3.478 0.001 0.924 3.310
Boden 2.5664 0.637 4.027 0.000 1.317 3.815
Bodum 2.7269 0.353 7.715 0.000 2.034 3.420
Body & Hair 2.4132 0.609 3.962 0.000 1.219 3.607
Body Central 2.5450 0.353 7.201 0.000 1.852 3.238
Body Glove 2.3179 0.353 6.561 0.000 1.625 3.010
Boho Chic 2.7830 0.610 4.562 0.000 1.587 3.979
Bongo 2.5935 0.147 17.591 0.000 2.305 2.882
Bonne Bell 2.4967 0.134 18.563 0.000 2.233 2.760
Boo! 2.5261 0.354 7.142 0.000 1.833 3.219
Boogie Wipes -8.813e-15 1.08e-14 -0.816 0.414 -3e-14 1.23e-14
Boohoo 2.6183 0.195 13.412 0.000 2.236 3.001
Boohoo Plus 2.7088 0.431 6.287 0.000 1.864 3.553
Boom Boom 2.1298 0.431 4.941 0.000 1.285 2.975
Boon 2.9803 0.441 6.764 0.000 2.117 3.844
Boots 2.5360 0.432 5.868 0.000 1.689 3.383
Boppy 2.9520 0.205 14.429 0.000 2.551 3.353
Borghese 4.883e-15 9.28e-15 0.526 0.599 -1.33e-14 2.31e-14
Born 3.1319 0.232 13.471 0.000 2.676 3.588
BornFree 3.1338 0.615 5.094 0.000 1.928 4.340
Bose 4.6349 0.143 32.336 0.000 4.354 4.916
Boston Proper 3.1113 0.609 5.111 0.000 1.918 4.304
Bottega Veneta 5.3911 0.616 8.748 0.000 4.183 6.599
Boudreaux 1.492e-14 9.45e-15 1.578 0.114 -3.61e-15 3.34e-14
Bourbon and Bowties 3.0882 0.609 5.075 0.000 1.895 4.281
Bourjois 3.0603 0.608 5.031 0.000 1.868 4.253
Brahmin 5.0531 0.609 8.304 0.000 3.860 6.246
Brandy Melville 2.9754 0.044 67.364 0.000 2.889 3.062
Braun 4.6190 0.342 13.503 0.000 3.949 5.289
Bravado 2.8328 0.186 15.198 0.000 2.467 3.198
Bravado Designs 2.7758 0.619 4.483 0.000 1.562 3.990
Brave Soul 2.9699 0.636 4.673 0.000 1.724 4.216
BreathableBaby 2.6153 0.437 5.986 0.000 1.759 3.472
Breckelles 2.9607 0.431 6.868 0.000 2.116 3.806
Breitling -2.279e-14 8.78e-15 -2.597 0.009 -4e-14 -5.59e-15
Brentwood 2.4655 0.609 4.049 0.000 1.272 3.659
Breville 4.5168 0.609 7.418 0.000 3.323 5.710
Breyer 3.5223 0.281 12.517 0.000 2.971 4.074
Briggs New York 2.4083 0.609 3.951 0.000 1.214 3.603
Bright Starts 2.9650 0.314 9.429 0.000 2.349 3.581
Brighton 3.4468 0.097 35.559 0.000 3.257 3.637
Brine 2.5182 0.618 4.075 0.000 1.307 3.729
Brita 2.4214 0.499 4.853 0.000 1.443 3.399
Britax 3.8099 0.385 9.892 0.000 3.055 4.565
Brixton -2.241e-14 1.06e-14 -2.113 0.035 -4.32e-14 -1.62e-15
Brooklyn Express 2.5608 0.609 4.208 0.000 1.368 3.754
Brooks 2.9234 0.173 16.894 0.000 2.584 3.262
Brooks Brothers 3.1080 0.212 14.691 0.000 2.693 3.523
Brookstone 2.2998 0.614 3.743 0.000 1.096 3.504
Brother 4.1862 0.614 6.820 0.000 2.983 5.389
Browning 2.2342 0.307 7.285 0.000 1.633 2.835
Bruder Toys America 3.0199 0.612 4.931 0.000 1.820 4.220
Buckle 3.1780 0.066 48.047 0.000 3.048 3.308
Buffalo -2.332e-15 9.33e-15 -0.250 0.803 -2.06e-14 1.6e-14
Buffalo David Bitton 2.1231 0.609 3.488 0.000 0.930 3.316
Bugaboo 3.9043 0.280 13.948 0.000 3.356 4.453
Bugle Boy 1.9034 0.609 3.126 0.002 0.710 3.097
Bullhead 2.6989 0.105 25.647 0.000 2.493 2.905
Bumble Collection -8.21e-15 9.11e-15 -0.901 0.368 -2.61e-14 9.65e-15
Bumbo 2.7971 0.285 9.798 0.000 2.238 3.357
BumpStart 3.1584 0.614 5.143 0.000 1.955 4.362
Burberry 4.0384 0.085 47.435 0.000 3.872 4.205
Burberry Brit 4.4973 0.206 21.838 0.000 4.094 4.901
Burberry London 4.8626 0.609 7.991 0.000 3.670 6.055
Burt's Bees 2.3838 0.156 15.257 0.000 2.078 2.690
Burt's Bees Baby 2.9261 0.478 6.126 0.000 1.990 3.862
Burton 3.4150 0.240 14.249 0.000 2.945 3.885
Bushnell 3.1026 0.611 5.080 0.000 1.906 4.300
Buxom 2.4125 0.431 5.598 0.000 1.568 3.257
Bvlgari 4.4094 0.356 12.388 0.000 3.712 5.107
Byer Too 2.0400 0.608 3.353 0.001 0.847 3.233
C by Champion 2.8526 0.608 4.690 0.000 1.660 4.045
CALIA by Carrie Underwood 3.5245 0.436 8.077 0.000 2.669 4.380
CAbi 2.7909 0.274 10.194 0.000 2.254 3.327
CB Sports 2.9905 0.748 3.997 0.000 1.524 4.457
CBK 3.2390 0.617 5.252 0.000 2.030 4.448
CCB Collection 2.2447 0.609 3.686 0.000 1.051 3.438
CCM 3.0034 0.357 8.411 0.000 2.304 3.703
CHI 1.301e-15 7.75e-15 0.168 0.867 -1.39e-14 1.65e-14
CJ Banks 6.665e-15 7.8e-15 0.855 0.393 -8.62e-15 2.2e-14
CLEAN 2.2290 0.609 3.661 0.000 1.036 3.422
COOGI 3.8119 0.310 12.294 0.000 3.204 4.420
CW-X 3.6213 0.431 8.407 0.000 2.777 4.466
Cabela's 2.8084 0.306 9.185 0.000 2.209 3.408
Cable & Gauge 3.0366 0.352 8.615 0.000 2.346 3.727
Cache 3.0520 0.252 12.089 0.000 2.557 3.547
Cacique 3.1022 0.113 27.343 0.000 2.880 3.325
Cali 2.4904 0.431 5.777 0.000 1.645 3.335
Calico Critters 3.1583 0.219 14.391 0.000 2.728 3.588
Call It Spring 3.3440 0.609 5.492 0.000 2.151 4.537
Callaway 4.4118 0.654 6.747 0.000 3.130 5.693
Calphalon -4.173e-15 1.07e-14 -0.390 0.696 -2.51e-14 1.68e-14
Calvin Klein 3.0806 0.054 56.829 0.000 2.974 3.187
Cambridge Classics 9.149e-15 7.04e-15 1.300 0.194 -4.64e-15 2.29e-14
CamelBak 2.9994 0.276 10.866 0.000 2.458 3.540
Canada Goose 4.1168 0.621 6.626 0.000 2.899 5.335
Candie's 2.6066 0.113 23.116 0.000 2.386 2.828
Canon 3.7120 0.110 33.724 0.000 3.496 3.928
Canvas 2.8578 0.352 8.108 0.000 2.167 3.549
Canyon River Blues -1.308e-14 1.14e-14 -1.150 0.250 -3.54e-14 9.22e-15
Capcom 3.9078 0.609 6.418 0.000 2.714 5.101
Capezio 2.7826 0.234 11.868 0.000 2.323 3.242
Carbon 2.8239 0.280 10.080 0.000 2.275 3.373
Cardinal Industries 2.7400 0.471 5.819 0.000 1.817 3.663
Cards Against Humanity 4.131e-15 8.15e-15 0.507 0.612 -1.18e-14 2.01e-14
Caress Brand Shop 3.5417 0.610 5.810 0.000 2.347 4.737
Carhartt 3.0154 0.125 24.064 0.000 2.770 3.261
Caribbean Joe 2.7797 0.353 7.883 0.000 2.089 3.471
Carlos Santana 2.5490 0.431 5.913 0.000 1.704 3.394
Carole Little 2.5807 0.608 4.243 0.000 1.389 3.773
Carolyn Taylor 2.2603 0.608 3.715 0.000 1.068 3.453
Carrera -1.557e-14 7.34e-15 -2.121 0.034 -3e-14 -1.18e-15
Carson Home Accents 2.3558 0.432 5.449 0.000 1.508 3.203
Carter's 2.7991 0.046 60.592 0.000 2.709 2.890
Cartier 4.0490 0.195 20.730 0.000 3.666 4.432
Cartoon Network 3.1099 0.236 13.161 0.000 2.647 3.573
Cascade 4.0938 0.859 4.763 0.000 2.409 5.778
Casio 3.2652 0.237 13.804 0.000 2.802 3.729
Caslon 2.8470 0.611 4.656 0.000 1.649 4.046
Casual Corner 2.5482 0.633 4.026 0.000 1.308 3.789
Catalina 2.5413 0.218 11.632 0.000 2.113 2.969
Caterpillar -8.303e-15 6.68e-15 -1.243 0.214 -2.14e-14 4.79e-15
Catherine Malandrino 3.1275 0.608 5.140 0.000 1.935 4.320
Catherines 3.4373 0.609 5.641 0.000 2.243 4.632
Cato 2.4777 0.129 19.220 0.000 2.225 2.730
Celebrity Pink 2.4051 0.251 9.596 0.000 1.914 2.896
Celine 4.5164 0.206 21.932 0.000 4.113 4.920
Cello Jeans 2.6211 0.353 7.425 0.000 1.929 3.313
Century -1.794e-15 8.62e-15 -0.208 0.835 -1.87e-14 1.51e-14
Cezani 2.6473 0.621 4.265 0.000 1.431 3.864
Chaco 3.9652 0.126 31.358 0.000 3.717 4.213
Chadwicks 2.7718 0.440 6.305 0.000 1.910 3.633
Chalk Line 4.2584 0.611 6.972 0.000 3.061 5.456
Champion 2.6393 0.071 37.421 0.000 2.501 2.778
Champion Sports 2.7498 0.609 4.517 0.000 1.557 3.943
Champs 3.1127 0.619 5.030 0.000 1.900 4.326
Chanel 3.9103 0.058 67.618 0.000 3.797 4.024
Channel 3.7857 0.609 6.221 0.000 2.593 4.978
Chantelle 3.1858 0.431 7.391 0.000 2.341 4.031
Chaps 2.6075 0.174 14.997 0.000 2.267 2.948
Charles River Apparel 3.0496 0.611 4.993 0.000 1.852 4.247
Charlotte Russe 2.5419 0.050 51.292 0.000 2.445 2.639
Charlotte Tilbury 3.8458 0.274 14.049 0.000 3.309 4.382
Charming Charlie 2.3936 0.186 12.854 0.000 2.029 2.759
Charter Club 2.7338 0.306 8.941 0.000 2.135 3.333
Chaser 2.8087 0.431 6.517 0.000 1.964 3.653
Chef's Secret 5.511e-15 8.85e-15 0.623 0.533 -1.18e-14 2.28e-14
Cherokee 2.8691 0.127 22.591 0.000 2.620 3.118
Chesley 2.3997 0.608 3.944 0.000 1.207 3.592
Chicco 3.4160 0.209 16.367 0.000 3.007 3.825
Chico's 2.9769 0.161 18.539 0.000 2.662 3.292
Children's Place 2.7856 0.092 30.310 0.000 2.605 2.966
Chinese Laundry 2.9237 0.275 10.647 0.000 2.386 3.462
Chloe 3.7057 0.274 13.524 0.000 3.169 4.243
Chloe + Isabel 4.2772 0.608 7.031 0.000 3.085 5.470
Chloe K -4.216e-15 9.77e-15 -0.431 0.666 -2.34e-14 1.49e-14
Chloé 4.7285 0.609 7.766 0.000 3.535 5.922
Christian Audigier -8.482e-15 9.58e-15 -0.885 0.376 -2.73e-14 1.03e-14
Christian Dior 3.5651 0.085 42.043 0.000 3.399 3.731
Christian Lacroix 2.6423 0.609 4.342 0.000 1.450 3.835
Christian Louboutin 4.9431 0.128 38.700 0.000 4.693 5.193
Christian Siriano 2.7526 0.306 8.993 0.000 2.153 3.353
Christophe Robin 2.2617 0.611 3.699 0.000 1.063 3.460
Christopher & Banks 3.0142 0.610 4.942 0.000 1.819 4.210
Chroma⢠-7.255e-15 1.05e-14 -0.689 0.491 -2.79e-14 1.34e-14
Chrome Hearts 1.6974 0.610 2.783 0.005 0.502 2.893
Ciaté London 2.8007 0.352 7.949 0.000 2.110 3.491
Cinch 3.5473 0.433 8.187 0.000 2.698 4.397
Circo 1.095e-14 9.97e-15 1.098 0.272 -8.59e-15 3.05e-14
Circus by Sam Edelman 2.8777 0.609 4.728 0.000 1.685 4.071
Citizen 2.4907 0.609 4.088 0.000 1.296 3.685
Citizens of Humanity 2.8904 0.252 11.483 0.000 2.397 3.384
Citizens of Humanity Jeans 2.5081 0.614 4.087 0.000 1.305 3.711
City Chic 9.485e-15 8.7e-15 1.090 0.276 -7.57e-15 2.65e-14
City Streets 2.3502 0.352 6.670 0.000 1.660 3.041
City Triangles 2.1525 0.609 3.534 0.000 0.959 3.346
Claiborne 2.6141 0.443 5.895 0.000 1.745 3.483
Claire's 2.1251 0.195 10.894 0.000 1.743 2.507
Clarins 3.0026 0.233 12.902 0.000 2.546 3.459
Clarisonic 4.63e-15 1.07e-14 0.434 0.664 -1.63e-14 2.55e-14
Clarks 2.6616 0.359 7.411 0.000 1.958 3.365
Cleveland Golf 2.5506 0.654 3.900 0.000 1.269 3.832
Clinique 2.9113 0.064 45.392 0.000 2.786 3.037
Clinique Du Rond -8.344e-15 9.61e-15 -0.868 0.385 -2.72e-14 1.05e-14
Cloud B -1.707e-14 8.17e-15 -2.089 0.037 -3.31e-14 -1.06e-15
Club Monaco 2.2491 0.609 3.695 0.000 1.056 3.442
CoCaLo 6.618e-15 9.22e-15 0.718 0.473 -1.15e-14 2.47e-14
Coach 3.4209 0.042 82.145 0.000 3.339 3.503
Coast 3.1028 0.611 5.080 0.000 1.906 4.300
Cobra Electronics -6.83e-15 9.41e-15 -0.726 0.468 -2.53e-14 1.16e-14
Coca-Cola 2.8634 0.431 6.640 0.000 2.018 3.709
Coco Reef -2.373e-15 9.73e-15 -0.244 0.807 -2.14e-14 1.67e-14
Coldwater Creek 2.8003 0.431 6.494 0.000 1.955 3.646
Cole Haan 3.2205 0.137 23.487 0.000 2.952 3.489
Coleman 2.2135 0.433 5.113 0.000 1.365 3.062
Colgate 2.7342 0.182 15.019 0.000 2.377 3.091
Colin Stuart 1.905e-14 1.15e-14 1.657 0.097 -3.48e-15 4.16e-14
Colosseum 3.2021 0.610 5.245 0.000 2.006 4.399
ColourPop Cosmetics 3.0667 0.078 39.465 0.000 2.914 3.219
Columbia 2.8842 0.062 46.325 0.000 2.762 3.006
Comfort & Harmony -3.594e-15 9.4e-15 -0.382 0.702 -2.2e-14 1.48e-14
Comfort Colors 2.9831 0.134 22.258 0.000 2.720 3.246
Comme des Garcons 4.1324 0.431 9.585 0.000 3.287 4.977
Compaq -2.024e-14 7.98e-15 -2.536 0.011 -3.59e-14 -4.6e-15
Conair 2.6747 0.355 7.532 0.000 1.979 3.371
Connected 2.3023 0.608 3.784 0.000 1.110 3.495
Converse 2.8025 0.055 50.773 0.000 2.694 2.911
Converse Shoes 2.5362 0.180 14.101 0.000 2.184 2.889
Cooks Essentials 2.6674 0.618 4.314 0.000 1.455 3.879
Cooper 3.0684 0.610 5.033 0.000 1.874 4.263
Cooperative 3.0132 0.431 6.990 0.000 2.168 3.858
Cordani Shoes 2.3115 0.609 3.799 0.000 1.119 3.504
Corelle 2.7552 0.432 6.382 0.000 1.909 3.601
CorningWare 3.0059 0.255 11.807 0.000 2.507 3.505
Corral 6.99e-15 7.83e-15 0.893 0.372 -8.36e-15 2.23e-14
Corso Como -6.494e-15 9.53e-15 -0.681 0.496 -2.52e-14 1.22e-14
Cosabella 2.6806 0.611 4.390 0.000 1.484 3.877
Cosco 2.2393 0.354 6.327 0.000 1.546 2.933
Costa Del Mar 2.9743 0.431 6.904 0.000 2.130 3.819
Cotton On 2.6304 0.127 20.744 0.000 2.382 2.879
Cottonelle 2.8743 0.451 6.376 0.000 1.991 3.758
Coty 2.6292 0.250 10.505 0.000 2.139 3.120
Coty, Inc. 2.6384 0.608 4.337 0.000 1.446 3.831
Counterparts 2.4905 0.612 4.072 0.000 1.292 3.689
Cover Fx 3.3834 0.609 5.557 0.000 2.190 4.577
Cover Girl 1.126e-14 8.12e-15 1.387 0.166 -4.66e-15 2.72e-14
CoverGirl 2.4315 0.091 26.730 0.000 2.253 2.610
Covington 2.8782 0.355 8.116 0.000 2.183 3.573
Cowgirl Tuff 3.5011 0.610 5.740 0.000 2.306 4.697
Cra-Z-Art -1.084e-14 8.73e-15 -1.243 0.214 -2.8e-14 6.26e-15
Craftsman 3.0798 0.745 4.132 0.000 1.619 4.541
Crayola 3.1784 0.252 12.631 0.000 2.685 3.672
Creative Designs 2.8493 0.609 4.679 0.000 1.656 4.043
Creativity for Kids 2.4429 0.432 5.657 0.000 1.596 3.289
Crest 3.2607 0.123 26.605 0.000 3.020 3.501
CritterWare 2.4249 0.612 3.963 0.000 1.226 3.624
Crocs 2.6327 0.078 33.619 0.000 2.479 2.786
Croft & Barrow 2.6945 0.189 14.262 0.000 2.324 3.065
Crooks & Castles 2.2971 0.609 3.775 0.000 1.104 3.490
Crosman 3.4285 0.617 5.552 0.000 2.218 4.639
Cruel Girl 2.5927 0.609 4.256 0.000 1.399 3.787
Cruiser Accessories 3.2859 0.613 5.362 0.000 2.085 4.487
Cuddl Duds 4.331e-15 8.45e-15 0.513 0.608 -1.22e-14 2.09e-14
Cuisinart 2.8619 0.280 10.221 0.000 2.313 3.411
Current/Elliott 2.8605 0.431 6.633 0.000 2.015 3.706
Curvy Couture 1.096e-14 8.28e-15 1.323 0.186 -5.27e-15 2.72e-14
Custom Accessories 3.7216 0.358 10.408 0.000 3.021 4.422
Customized & Personalized 3.2839 0.061 53.504 0.000 3.164 3.404
Cutter & Buck 3.1114 0.432 7.207 0.000 2.265 3.958
Cutters 2.443e-15 6.96e-15 0.351 0.725 -1.12e-14 1.61e-14
Cynthia Rowley 2.8296 0.232 12.194 0.000 2.375 3.284
Céline 4.2600 0.353 12.072 0.000 3.568 4.952
D&G 2.9166 0.353 8.270 0.000 2.225 3.608
DC Comics 3.1157 0.107 29.223 0.000 2.907 3.325
DC Direct 3.357e-15 7.73e-15 0.434 0.664 -1.18e-14 1.85e-14
DC Shoes 2.7057 0.108 25.003 0.000 2.494 2.918
DCC 2.8930 0.609 4.754 0.000 1.700 4.086
DGK 2.9315 0.353 8.314 0.000 2.240 3.623
DIESEL 3.2584 0.161 20.181 0.000 2.942 3.575
DIRECTV 2.1553 0.619 3.480 0.001 0.941 3.369
DJI 4.4062 0.612 7.194 0.000 3.206 5.607
DKNY 2.9594 0.158 18.749 0.000 2.650 3.269
DKNYC 6.899e-15 1.29e-14 0.535 0.592 -1.84e-14 3.22e-14
DV by Dolce Vita 2.5637 0.608 4.214 0.000 1.371 3.756
DYMO 4.0695 0.436 9.342 0.000 3.216 4.923
Da-Nang 3.5341 0.610 5.795 0.000 2.339 4.729
Daisy Fuentes 2.4865 0.251 9.925 0.000 1.995 2.978
Dalia -2.218e-14 9.51e-15 -2.332 0.020 -4.08e-14 -3.54e-15
Dana Buchman 2.5648 0.352 7.278 0.000 1.874 3.256
Daniel Cremieux 2.5454 0.357 7.126 0.000 1.845 3.246
Daniel Wellington 3.5229 0.609 5.782 0.000 2.329 4.717
Danielle Nicole -3.321e-15 9.9e-15 -0.335 0.737 -2.27e-14 1.61e-14
Danier 1.258e-14 1.01e-14 1.241 0.215 -7.29e-15 3.24e-14
Danny & Nicole 2.3485 0.475 4.940 0.000 1.417 3.280
Danskin 2.5295 0.129 19.647 0.000 2.277 2.782
Danskin Now 2.3101 0.250 9.229 0.000 1.820 2.801
Dansko 3.1518 0.317 9.931 0.000 2.530 3.774
David Taylor -1.1e-14 9.08e-15 -1.212 0.225 -2.88e-14 6.79e-15
David Yurman 5.7574 0.156 36.871 0.000 5.451 6.063
David's Bridal 2.7938 0.148 18.919 0.000 2.504 3.083
Daytrip 2.9117 0.161 18.122 0.000 2.597 3.227
Dazzle Multimedia 4.972e-15 1.09e-14 0.457 0.647 -1.63e-14 2.63e-14
DeLONG 3.2226 0.631 5.106 0.000 1.986 4.460
DeLonghi -7.068e-16 8.52e-15 -0.083 0.934 -1.74e-14 1.6e-14
DeMarini 3.809e-15 1.11e-14 0.342 0.733 -1.8e-14 2.57e-14
DeWALT® 3.1775 0.255 12.458 0.000 2.678 3.677
Deb 2.7491 0.608 4.519 0.000 1.557 3.941
Decree 2.2868 0.250 9.134 0.000 1.796 2.778
Deena & Ozzy 2.8209 0.609 4.636 0.000 1.628 4.014
Degree 3.3126 0.308 10.744 0.000 2.708 3.917
Deletta 2.5749 0.431 5.977 0.000 1.731 3.419
Dell 3.1250 0.141 22.168 0.000 2.849 3.401
Delta 1.528e-15 8.61e-15 0.177 0.859 -1.53e-14 1.84e-14
Delta Burke 2.5036 0.608 4.115 0.000 1.311 3.696
Denim & Co. 2.2672 0.431 5.256 0.000 1.422 3.113
Dennis Basso 3.9145 0.612 6.396 0.000 2.715 5.114
Derek Heart 2.5415 0.274 9.282 0.000 2.005 3.078
Dermablend 3.2517 0.154 21.063 0.000 2.949 3.554
Design History 2.3145 0.610 3.794 0.000 1.119 3.510
Desigual 3.6742 0.608 6.039 0.000 2.482 4.867
Deux Lux 2.6268 0.609 4.316 0.000 1.434 3.820
Dex Baby 2.0777 0.613 3.392 0.001 0.877 3.278
Diadora 2.8570 0.609 4.694 0.000 1.664 4.050
Dial 3.0247 0.355 8.528 0.000 2.330 3.720
Diamond Supply Co. 3.0216 0.129 23.360 0.000 2.768 3.275
Diane Gilman -2.233e-15 8.44e-15 -0.264 0.791 -1.88e-14 1.43e-14
Diane von Furstenberg 3.0629 0.274 11.182 0.000 2.526 3.600
Dickies 2.7704 0.130 21.231 0.000 2.515 3.026
Dior 2.8792 0.608 4.733 0.000 1.687 4.072
Discovery Kids 3.0640 0.609 5.032 0.000 1.871 4.257
Disguise 4.328e-15 9.72e-15 0.445 0.656 -1.47e-14 2.34e-14
Disney 2.8376 0.041 69.946 0.000 2.758 2.917
Disney Baby 3.0163 0.432 6.974 0.000 2.169 3.864
Disney Collection 3.2946 0.124 26.544 0.000 3.051 3.538
Disney Jr. 3.1342 0.207 15.170 0.000 2.729 3.539
Disney Pixar 3.2365 0.167 19.364 0.000 2.909 3.564
Disney Pixar Cars 2.7409 0.161 17.058 0.000 2.426 3.056
Disney Princess 2.7776 0.129 21.454 0.000 2.524 3.031
Disney Tsum Tsum 2.8537 0.167 17.078 0.000 2.526 3.181
Dittos -1.189e-14 8.49e-15 -1.401 0.161 -2.85e-14 4.75e-15
Divided 2.8255 0.306 9.227 0.000 2.225 3.426
Dockers 2.7183 0.213 12.745 0.000 2.300 3.136
Doctor Who 2.0330 0.608 3.341 0.001 0.840 3.226
Dogeared 2.9652 0.608 4.874 0.000 1.773 4.158
Dogswell 1.005e-14 8.72e-15 1.153 0.249 -7.04e-15 2.71e-14
Dolce & Gabbana 3.2550 0.233 13.987 0.000 2.799 3.711
Dolce Vita 3.2035 0.187 17.168 0.000 2.838 3.569
Dollhouse 2.5806 0.218 11.846 0.000 2.154 3.008
Donald J. Pliner 2.4957 0.609 4.101 0.000 1.303 3.688
Donald Trump 2.2986 0.609 3.777 0.000 1.106 3.491
Donna Morgan 3.9696 0.609 6.518 0.000 2.776 5.163
Dooney & Bourke 3.5411 0.064 54.963 0.000 3.415 3.667
Dots 2.4921 0.306 8.154 0.000 1.893 3.091
Double Zero 2.4846 0.608 4.083 0.000 1.292 3.677
Dove 3.0234 0.171 17.689 0.000 2.688 3.358
Dr. Brown's 3.3190 0.167 19.888 0.000 2.992 3.646
Dr. Hauschka 3.2375 0.608 5.321 0.000 2.045 4.430
Dr. Martens 3.3752 0.109 30.855 0.000 3.161 3.590
Dr. Scholl's 2.6830 0.205 13.058 0.000 2.280 3.086
Dr. Seuss -1.63e-14 1e-14 -1.627 0.104 -3.59e-14 3.34e-15
Dragon 8.34e-15 8.3e-15 1.005 0.315 -7.92e-15 2.46e-14
Dragon Ball Z 3.0039 0.355 8.465 0.000 2.308 3.699
Drake 2.9854 0.306 9.759 0.000 2.386 3.585
Dream Lites 2.6734 0.432 6.189 0.000 1.827 3.520
Dream On Me 2.6784 0.752 3.564 0.000 1.205 4.151
Dreamgirl 2.2106 0.611 3.616 0.000 1.012 3.409
Dreamworks 2.7123 0.196 13.873 0.000 2.329 3.095
Dress Barn 2.5403 0.431 5.895 0.000 1.696 3.385
Drunk Elephant 8.754e-15 9.09e-15 0.963 0.335 -9.06e-15 2.66e-14
Duck Commander 2.5061 0.609 4.114 0.000 1.312 3.700
Duck Head 2.0784 0.612 3.399 0.001 0.880 3.277
Duo Maternity 3.3719 0.614 5.491 0.000 2.168 4.575
Dynasty 2.6170 0.609 4.301 0.000 1.424 3.810
EA Sports 3.3991 0.609 5.585 0.000 2.206 4.592
ELF 1.8439 0.609 3.029 0.002 0.651 3.037
ELLE 2.4232 0.232 10.425 0.000 1.968 2.879
ENERGIE 2.9523 0.432 6.837 0.000 2.106 3.799
EO 3.1964 0.210 15.244 0.000 2.785 3.607
Earl Jean 2.8836 0.353 8.165 0.000 2.191 3.576
Earl Jeans -3.047e-15 7.7e-15 -0.396 0.692 -1.81e-14 1.2e-14
Earth Mama Angel Baby 2.7913 0.625 4.463 0.000 1.565 4.017
East 5th 2.1373 0.667 3.205 0.001 0.830 3.444
Eastern Mountain Sports 2.6014 0.652 3.991 0.000 1.324 3.879
Eastessence 2.5408 0.609 4.172 0.000 1.347 3.734
Easton 3.8563 0.368 10.478 0.000 3.135 4.578
Ecko Red 2.5781 0.251 10.291 0.000 2.087 3.069
Ecko Unltd. 2.5779 0.431 5.982 0.000 1.733 3.423
Ed Hardy 2.4728 0.139 17.854 0.000 2.201 2.744
Eddie Bauer 2.8825 0.130 22.240 0.000 2.628 3.137
Educational Insights 3.4512 0.609 5.664 0.000 2.257 4.645
Eileen Fisher 2.6398 0.609 4.334 0.000 1.446 3.834
Elan -1.376e-14 1.21e-14 -1.135 0.256 -3.75e-14 1e-14
Elegant Moments 3.2074 0.608 5.273 0.000 2.015 4.399
Element 2.7136 0.352 7.701 0.000 2.023 3.404
Elements 2.8886 0.609 4.741 0.000 1.694 4.083
Elementz 2.1561 0.609 3.542 0.000 0.963 3.349
Elie Tahari 4.0940 0.608 6.728 0.000 2.901 5.287
Elite 3.4168 0.610 5.597 0.000 2.220 4.613
Eliza J 3.1386 0.608 5.158 0.000 1.946 4.331
Elizabeth Arden 2.8923 0.205 14.083 0.000 2.490 3.295
Elizabeth and James 3.5324 0.433 8.163 0.000 2.684 4.381
Ellen Tracy 2.8828 0.354 8.132 0.000 2.188 3.578
Elmers 2.5759 0.075 34.426 0.000 2.429 2.723
Emerald Sundae 3.258e-14 1.03e-14 3.167 0.002 1.24e-14 5.27e-14
Emerica 2.6081 0.431 6.047 0.000 1.763 3.453
Emerson 4.1332 0.619 6.673 0.000 2.919 5.347
Emilio Pucci 4.1487 0.431 9.625 0.000 3.304 4.994
Emma James -2.138e-14 1.06e-14 -2.018 0.044 -4.21e-14 -6.16e-16
Empire 2.6054 0.307 8.496 0.000 2.004 3.207
Emporio Armani 3.4524 0.433 7.978 0.000 2.604 4.301
En Focus Studio 2.4976 0.431 5.794 0.000 1.653 3.343
Energizer® 2.3753 0.441 5.382 0.000 1.510 3.240
Enfagrow 2.5366 0.294 8.625 0.000 1.960 3.113
Enfamil 3.2802 0.142 23.138 0.000 3.002 3.558
Enyce 2.8207 0.614 4.595 0.000 1.617 4.024
Enzo Angiolini 3.1888 0.609 5.240 0.000 1.996 4.382
Epson 3.2903 0.287 11.448 0.000 2.727 3.854
Eric Carle 2.4416 0.435 5.613 0.000 1.589 3.294
Ermenegildo Zegna 3.0005 0.610 4.915 0.000 1.804 4.197
Ernie Ball 2.8809 0.630 4.573 0.000 1.646 4.116
Esprit 2.9691 0.617 4.812 0.000 1.760 4.178
Essence of Beauty 5.401e-15 1.05e-14 0.512 0.609 -1.53e-14 2.61e-14
Essie -1.832e-14 9.45e-15 -1.937 0.053 -3.68e-14 2.14e-16
Estee Lauder 3.1300 0.071 44.319 0.000 2.992 3.268
Etienne Aigner 3.3340 0.618 5.394 0.000 2.122 4.546
Eucerin 3.4896 0.610 5.724 0.000 2.295 4.684
Euro-Pro 3.4798 0.638 5.451 0.000 2.229 4.731
Evan Picone -6.504e-15 1.32e-14 -0.494 0.621 -3.23e-14 1.93e-14
Evenflo 2.8946 0.207 14.014 0.000 2.490 3.299
Everlane -1.578e-14 8.26e-15 -1.912 0.056 -3.2e-14 4e-16
Everlast 2.5751 0.256 10.056 0.000 2.073 3.077
Everly Grey 3.6293 0.629 5.768 0.000 2.396 4.863
Evie 2.2443 0.620 3.618 0.000 1.029 3.460
EvoShield -1.717e-14 8.39e-15 -2.047 0.041 -3.36e-14 -7.27e-16
Exo-Terra 2.1120 0.637 3.313 0.001 0.863 3.361
Express 2.8388 0.053 53.659 0.000 2.735 2.943
Eyeshadow 2.1037 0.432 4.875 0.000 1.258 2.949
FOREVER 21 2.5759 0.038 67.553 0.000 2.501 2.651
FULL TILT 2.6210 0.144 18.182 0.000 2.338 2.904
Faber-Castell 3.0848 0.609 5.066 0.000 1.891 4.278
Fabletics 2.7590 0.195 14.145 0.000 2.377 3.141
Fabulous Frannie 2.1658 0.610 3.552 0.000 0.971 3.361
Faded Glory 2.3359 0.102 22.903 0.000 2.136 2.536
Faithfull the Brand 4.5866 0.608 7.539 0.000 3.394 5.779
Famous Stars & Straps 3.1026 0.431 7.199 0.000 2.258 3.947
Fang 2.8198 0.608 4.635 0.000 1.627 4.012
Fantasie -4.005e-15 1.06e-14 -0.377 0.706 -2.48e-14 1.68e-14
Farberware 2.9705 0.264 11.253 0.000 2.453 3.488
Fashion Bug 2.7938 0.251 11.153 0.000 2.303 3.285
Fashion Forms -1.524e-14 9.04e-15 -1.685 0.092 -3.3e-14 2.48e-15
Fashion Nova 2.9438 0.078 37.746 0.000 2.791 3.097
Fashion to Figure -3.073e-15 9.79e-15 -0.314 0.754 -2.23e-14 1.61e-14
Fatal Clothing 2.5484 0.609 4.188 0.000 1.356 3.741
Febreze 2.8528 0.180 15.877 0.000 2.501 3.205
Fellowes -1.26e-14 1.23e-14 -1.022 0.307 -3.68e-14 1.16e-14
Fender 3.6300 0.386 9.408 0.000 2.874 4.386
Fendi 3.8482 0.159 24.191 0.000 3.536 4.160
Ferasali 3.6096 0.431 8.377 0.000 2.765 4.454
Ferragamo 3.8409 0.435 8.828 0.000 2.988 4.694
Ferrari 3.2285 0.432 7.474 0.000 2.382 4.075
Field & Stream 2.7550 0.309 8.911 0.000 2.149 3.361
Fifth Sun -5.698e-15 1e-14 -0.568 0.570 -2.53e-14 1.39e-14
Fila 2.7464 0.156 17.623 0.000 2.441 3.052
Fila Sport 2.5538 0.251 10.192 0.000 2.063 3.045
Fiore 2.1835 0.431 5.064 0.000 1.338 3.029
Fire Los Angeles 2.7944 0.608 4.593 0.000 1.602 3.987
Fisher-Price 2.9653 0.079 37.743 0.000 2.811 3.119
Fisher-Price Baby 3.3972 0.355 9.566 0.000 2.701 4.093
Fitbit 3.6062 0.089 40.621 0.000 3.432 3.780
Fjallraven 3.2938 0.611 5.391 0.000 2.096 4.491
Flexees 2.4436 0.353 6.926 0.000 1.752 3.135
Flirtitude 2.5801 0.609 4.239 0.000 1.387 3.773
Floam 2.6048 0.130 20.103 0.000 2.351 2.859
Floppy Products 3.3988 0.646 5.264 0.000 2.133 4.664
Florsheim 2.1659 0.609 3.559 0.000 0.973 3.359
Fluval 3.4220 0.612 5.592 0.000 2.223 4.621
Flying Monkey 2.4503 0.431 5.682 0.000 1.605 3.296
Flying Tomato 2.6437 0.608 4.346 0.000 1.451 3.836
FootJoy 3.1568 0.432 7.306 0.000 2.310 4.004
For Joseph 6.936e-16 8.4e-15 0.083 0.934 -1.58e-14 1.72e-14
For Love and Lemons 4.4899 0.352 12.745 0.000 3.799 5.180
Ford 3.6655 0.612 5.987 0.000 2.466 4.865
Forever Unique 2.3015 0.608 3.783 0.000 1.109 3.494
Fossil 3.2113 0.071 45.018 0.000 3.072 3.351
Fourstar Clothing 2.8361 0.609 4.661 0.000 1.643 4.029
Fox 3.1365 0.456 6.881 0.000 2.243 4.030
Fox Racing 2.9372 0.105 27.865 0.000 2.731 3.144
Frame Denim 4.2952 0.431 9.968 0.000 3.451 5.140
Francesca's Collections 2.5876 0.186 13.895 0.000 2.223 2.953
Franco Sarto 2.8818 0.274 10.517 0.000 2.345 3.419
Frankie B 2.4860 0.614 4.051 0.000 1.283 3.689
Frankie's Bikinis 4.3385 0.233 18.643 0.000 3.882 4.795
Franklin 2.3987 0.444 5.405 0.000 1.529 3.268
Franklin Learning Systems 8.615e-16 9.57e-15 0.090 0.928 -1.79e-14 1.96e-14
Freddy 4.0310 0.609 6.624 0.000 2.838 5.224
Frederick's of Hollywood 2.9773 0.353 8.427 0.000 2.285 3.670
Free Country 2.9355 0.356 8.242 0.000 2.237 3.634
Free People 3.3871 0.052 64.970 0.000 3.285 3.489
Freestyle 3.1838 0.609 5.225 0.000 1.990 4.378
French Connection 3.2758 0.353 9.292 0.000 2.585 3.967
French Laundry 2.5082 0.306 8.200 0.000 1.909 3.108
French Toast -1.437e-15 9.66e-15 -0.149 0.882 -2.04e-14 1.75e-14
Fresh 2.8778 0.609 4.727 0.000 1.685 4.071
Freya -1.124e-14 9.28e-15 -1.211 0.226 -2.94e-14 6.94e-15
Frontline 3.4347 0.432 7.957 0.000 2.589 4.281
Fruit of the Loom 2.6123 0.251 10.424 0.000 2.121 3.103
Frye 4.0012 0.144 27.715 0.000 3.718 4.284
Fuji 2.9617 0.115 25.758 0.000 2.736 3.187
Fujifilm 3.7879 0.614 6.173 0.000 2.585 4.991
Fun World 2.8808 0.354 8.137 0.000 2.187 3.575
Funimation Production 2.9035 0.307 9.468 0.000 2.302 3.505
Funko 3.2236 0.049 65.731 0.000 3.127 3.320
Furla 4.1434 0.352 11.755 0.000 3.453 4.834
Furminator 4.0063 0.610 6.565 0.000 2.810 5.202
G by Guess 2.7488 0.205 13.386 0.000 2.346 3.151
G-Shock 3.2747 0.234 13.992 0.000 2.816 3.733
G-Star Raw 3.2107 0.372 8.619 0.000 2.481 3.941
G.I. JOE 2.7292 0.609 4.483 0.000 1.536 3.923
GAIAM 3.1151 0.616 5.055 0.000 1.907 4.323
GAIN 2.7567 0.357 7.727 0.000 2.057 3.456
GAME 2.083e-14 1.09e-14 1.914 0.056 -4.97e-16 4.22e-14
GE 3.0903 0.618 4.998 0.000 1.878 4.302
GEAR FOR SPORTS 2.0314 0.612 3.318 0.001 0.832 3.231
GM Performance Parts -5.831e-15 1.17e-14 -0.500 0.617 -2.87e-14 1.7e-14
GUESS 2.8560 0.062 46.132 0.000 2.735 2.977
Galaxy -1.031e-14 9.48e-15 -1.088 0.277 -2.89e-14 8.27e-15
Gallery 2.9224 0.614 4.759 0.000 1.719 4.126
Ganz 2.9638 0.159 18.653 0.000 2.652 3.275
Gap 2.8092 0.047 60.338 0.000 2.718 2.900
Garage 2.7993 0.608 4.601 0.000 1.607 3.992
Garmin 3.4341 0.179 19.209 0.000 3.084 3.785
Garnet Hill 2.7326 0.609 4.489 0.000 1.539 3.926
Garnier 2.8163 0.145 19.479 0.000 2.533 3.100
Gateway 3.0373 0.611 4.970 0.000 1.839 4.235
General Electric 2.4381 0.307 7.935 0.000 1.836 3.040
Generic 1.9630 0.608 3.227 0.001 0.771 3.155
Geneva 1.9764 0.235 8.414 0.000 1.516 2.437
Gentle Souls 3.5943 0.609 5.907 0.000 2.402 4.787
Geoffrey Beene 3.1753 0.434 7.313 0.000 2.324 4.026
George 2.4166 0.308 7.846 0.000 1.813 3.020
George Foreman 3.1006 0.436 7.107 0.000 2.246 3.956
George Simonton 2.6670 0.609 4.381 0.000 1.474 3.860
Georgio Armani 3.5062 0.123 28.550 0.000 3.266 3.747
Gerber 2.6924 0.152 17.665 0.000 2.394 2.991
Gerber Good Start 4.4597 0.319 13.967 0.000 3.834 5.086
Giacca -1.04e-14 1.09e-14 -0.954 0.340 -3.18e-14 1.1e-14
Giani Bernini 1.9685 0.609 3.235 0.001 0.776 3.161
Gianni Bini 2.7234 0.353 7.725 0.000 2.032 3.414
Gildan 2.8926 0.083 34.656 0.000 2.729 3.056
Gillette 3.0447 0.132 23.017 0.000 2.785 3.304
Gilligan & O'Malley 2.6561 0.179 14.810 0.000 2.305 3.008
Gilly Hicks 2.6130 0.218 11.996 0.000 2.186 3.040
Giorgio Armani 3.1444 0.432 7.281 0.000 2.298 3.991
Gitano 2.9422 0.609 4.834 0.000 1.749 4.135
Giuseppe Zanotti 4.7860 0.609 7.861 0.000 3.593 5.979
Givenchy 3.5146 0.160 21.911 0.000 3.200 3.829
Glade 2.7113 0.205 13.237 0.000 2.310 3.113
Glo Jeans -1.747e-14 9.35e-15 -1.868 0.062 -3.58e-14 8.6e-16
Globe -2.975e-17 1.07e-14 -0.003 0.998 -2.1e-14 2.1e-14
Gloria Vanderbilt 3.1088 0.275 11.303 0.000 2.570 3.648
Go Gear 3.8651 0.282 13.699 0.000 3.312 4.418
GoPro 5.1452 0.614 8.385 0.000 3.943 6.348
Goddess 3.1322 0.608 5.148 0.000 1.940 4.325
Godinger -7.697e-15 1.09e-14 -0.709 0.478 -2.9e-14 1.36e-14
Gold Bug 3.0045 0.646 4.653 0.000 1.739 4.270
Gold's Gym 2.3448 0.609 3.849 0.000 1.151 3.539
Good Cook 1.5382 0.618 2.488 0.013 0.326 2.750
Good Technology 2.7062 0.252 10.739 0.000 2.212 3.200
Goodyear 3.0079 0.616 4.879 0.000 1.800 4.216
Gottex 8.094e-15 9.34e-15 0.867 0.386 -1.02e-14 2.64e-14
Goyard 4.0778 0.611 6.671 0.000 2.880 5.276
Grace Elements 2.7216 0.609 4.471 0.000 1.528 3.915
Grace In LA 3.1303 0.276 11.359 0.000 2.590 3.670
Grace Karin 3.1189 0.609 5.121 0.000 1.925 4.313
Graco 3.4717 0.245 14.142 0.000 2.991 3.953
Great Expectations 3.2398 0.614 5.276 0.000 2.036 4.443
Greenlight Collectibles -1.782e-14 1.12e-14 -1.584 0.113 -3.99e-14 4.22e-15
Griffin 2.0158 0.432 4.668 0.000 1.169 2.862
Gucci 4.3526 0.066 66.237 0.000 4.224 4.481
Guerlain 3.4911 0.274 12.755 0.000 2.955 4.028
Guess by Marciano 3.3551 0.608 5.514 0.000 2.163 4.548
Gund 2.7702 0.353 7.839 0.000 2.078 3.463
Guy Harvey 2.8840 0.252 11.454 0.000 2.390 3.377
Gymboree 2.8640 0.061 46.732 0.000 2.744 2.984
Gymshark 3.6375 0.072 50.412 0.000 3.496 3.779
H&M 2.6097 0.052 50.573 0.000 2.509 2.711
HDE 1.6005 0.609 2.626 0.009 0.406 2.795
HEAD 2.7901 0.369 7.570 0.000 2.068 3.512
HERMES 3.8093 0.207 18.444 0.000 3.405 4.214
HOBO INTERNATIONAL 3.8690 0.431 8.972 0.000 3.024 4.714
HP 3.3167 0.106 31.165 0.000 3.108 3.525
HTC 2.8498 0.187 15.230 0.000 2.483 3.216
HUF 2.8087 0.353 7.955 0.000 2.117 3.501
HYDRAULIC 2.5214 0.233 10.804 0.000 2.064 2.979
Haggar 3.1748 0.618 5.138 0.000 1.964 4.386
Hailey Logan 3.8591 0.609 6.336 0.000 2.665 5.053
Hallmark 2.6307 0.129 20.438 0.000 2.378 2.883
Halo 2.5207 0.280 9.006 0.000 1.972 3.069
Halogen 2.5068 0.353 7.110 0.000 1.816 3.198
Halston Heritage 4.0284 0.608 6.621 0.000 2.836 5.221
Hamilton Beach 2.5224 0.443 5.695 0.000 1.654 3.391
Hanes 2.5018 0.187 13.382 0.000 2.135 2.868
Hang Ten 2.4058 0.432 5.567 0.000 1.559 3.253
Hanna Anderson 2.9393 0.127 23.168 0.000 2.691 3.188
Hannspree 2.2631 0.643 3.522 0.000 1.004 3.523
Happy Socks 2.4826 0.610 4.073 0.000 1.288 3.677
Harajuku Lovers 2.5216 0.274 9.202 0.000 1.984 3.059
Hard Candy 2.4275 0.172 14.120 0.000 2.091 2.765
Hard Tail 2.5809 0.608 4.242 0.000 1.388 3.774
Harley-Davidson 3.1464 0.064 49.393 0.000 3.022 3.271
Harman Kardon 2.7420 0.432 6.351 0.000 1.896 3.588
Hasbro 3.1992 0.078 40.962 0.000 3.046 3.352
Hasbro Games 2.8542 0.355 8.047 0.000 2.159 3.549
Havaianas 2.6985 0.431 6.259 0.000 1.853 3.544
Hawk 1.9998 0.609 3.286 0.001 0.807 3.192
Heart Soul 2.7316 0.218 12.555 0.000 2.305 3.158
Hearthside Collection -7.782e-15 1.06e-14 -0.734 0.463 -2.86e-14 1.3e-14
Helix 2.8531 0.645 4.422 0.000 1.588 4.118
Hello Kitty 2.7184 0.075 36.356 0.000 2.572 2.865
Helly Hansen 2.8597 0.279 10.259 0.000 2.313 3.406
Helmut Lang 3.1507 0.443 7.116 0.000 2.283 4.019
Henri Bendel 3.6905 0.195 18.917 0.000 3.308 4.073
Heritage 2.4202 0.439 5.512 0.000 1.560 3.281
Hermès 4.6904 0.621 7.557 0.000 3.474 5.907
Herschel Supply Company 3.3109 0.278 11.920 0.000 2.766 3.855
Hi-Tec 5.035e-15 9.84e-15 0.512 0.609 -1.42e-14 2.43e-14
High Sierra 8.379e-15 1.11e-14 0.754 0.451 -1.34e-14 3.02e-14
Hillard & Hanson 1.003e-14 8.32e-15 1.205 0.228 -6.29e-15 2.63e-14
Hind 3.0240 0.608 4.970 0.000 1.832 4.216
Hippie 1.888e-14 9.23e-15 2.045 0.041 7.85e-16 3.7e-14
Hitachi 3.4430 0.439 7.852 0.000 2.584 4.303
HoMedics 2.8077 0.354 7.939 0.000 2.115 3.501
Hobie 1.741e-15 1.24e-14 0.141 0.888 -2.25e-14 2.6e-14
Hoka One 1.024e-15 1.06e-14 0.096 0.923 -1.98e-14 2.19e-14
Hollister 2.7038 0.043 62.301 0.000 2.619 2.789
Hollister Co. 2.6534 0.113 23.473 0.000 2.432 2.875
Home Interiors 3.1590 0.174 18.205 0.000 2.819 3.499
Honey Punch 3.6820 0.609 6.046 0.000 2.488 4.876
Hot Kiss 2.3607 0.232 10.156 0.000 1.905 2.816
Hot Sox 1.622e-14 1.06e-14 1.535 0.125 -4.49e-15 3.69e-14
Hot Topic 2.6968 0.054 50.070 0.000 2.591 2.802
Hot Wheels 2.3660 0.135 17.473 0.000 2.101 2.631
Hourglass 3.1552 0.609 5.183 0.000 1.962 4.348
Hourglass Cosmetics 3.6142 0.179 20.204 0.000 3.264 3.965
House of Harlow 1960 3.4956 0.609 5.744 0.000 2.303 4.688
Hoverboard 4.1681 0.368 11.336 0.000 3.447 4.889
Hublot -1.197e-14 7.69e-15 -1.558 0.119 -2.7e-14 3.09e-15
Huda Beauty 3.2147 0.120 26.805 0.000 2.980 3.450
Hudson Jeans 3.4536 0.148 23.322 0.000 3.163 3.744
Hue 2.0080 0.609 3.298 0.001 0.815 3.201
Huggies 2.9040 0.223 13.052 0.000 2.468 3.340
Huggies Little Movers 3.3210 0.447 7.434 0.000 2.445 4.197
Huggies Little Snugglers 2.9224 0.298 9.800 0.000 2.338 3.507
Huggies Pull-Ups 2.9514 0.372 7.942 0.000 2.223 3.680
Huggies Snug & Dry 3.0446 0.260 11.688 0.000 2.534 3.555
Hugo Boss 3.4095 0.621 5.493 0.000 2.193 4.626
Hula Honey 2.8272 0.432 6.539 0.000 1.980 3.675
Hunter 3.8240 0.093 40.916 0.000 3.641 4.007
Hunter Boots 3.7716 0.218 17.297 0.000 3.344 4.199
Hurley 2.6588 0.142 18.686 0.000 2.380 2.938
Hybrid 2.3537 0.619 3.803 0.000 1.141 3.567
Hype 8.631e-15 1.06e-14 0.816 0.415 -1.21e-14 2.94e-14
IBM 3.4406 0.611 5.630 0.000 2.243 4.638
IKEA 2.6175 0.144 18.143 0.000 2.335 2.900
INC International Concepts 2.7024 0.126 21.377 0.000 2.455 2.950
ION Audio -9.854e-15 1.04e-14 -0.946 0.344 -3.03e-14 1.06e-14
IT Cosmetics 3.2019 0.083 38.374 0.000 3.038 3.365
IZOD 2.9966 0.220 13.599 0.000 2.565 3.429
Icon 3.2671 0.636 5.140 0.000 2.021 4.513
Ideology 2.7784 0.608 4.568 0.000 1.586 3.971
Illamasqua 3.2366 0.435 7.441 0.000 2.384 4.089
Imagine Baby 2.5074 0.616 4.071 0.000 1.300 3.715
Imaginext 3.3089 0.207 16.000 0.000 2.904 3.714
Incipio 2.9149 0.196 14.910 0.000 2.532 3.298
Independent 3.3149 0.045 74.324 0.000 3.227 3.402
Indigo Moon 2.4208 0.622 3.893 0.000 1.202 3.640
Industrial Cotton 2.3717 0.610 3.885 0.000 1.175 3.568
Infantino 2.8724 0.211 13.630 0.000 2.459 3.285
Infinity 2.9438 0.431 6.825 0.000 2.098 3.789
Infinity Raine 3.1113 0.609 5.111 0.000 1.918 4.304
Ingenuity 3.7890 0.469 8.083 0.000 2.870 4.708
Inglot 2.5962 0.352 7.368 0.000 1.906 3.287
Ingrid & Isabel 1.2898 0.707 1.824 0.068 -0.096 2.676
Insignia 2.9207 0.631 4.626 0.000 1.683 4.158
Intel 3.6361 0.357 10.196 0.000 2.937 4.335
InterDesign 2.4522 0.433 5.664 0.000 1.604 3.301
Invicta 3.2346 0.354 9.133 0.000 2.540 3.929
Invicta Watch Group 2.66e-14 8.34e-15 3.189 0.001 1.02e-14 4.3e-14
Iris 2.2923 0.432 5.311 0.000 1.446 3.138
Irish Spring 3.5848 0.610 5.881 0.000 2.390 4.780
Iron Fist 3.2789 0.218 15.057 0.000 2.852 3.706
Iron Maiden 3.1894 0.609 5.241 0.000 1.997 4.382
Isaac Mizrahi 3.6282 0.609 5.962 0.000 2.435 4.821
Isabel Marant -1.274e-14 9.74e-15 -1.307 0.191 -3.18e-14 6.36e-15
Island Escape 3.1368 0.608 5.155 0.000 1.944 4.329
It's Our Time 1.413e-15 9.94e-15 0.142 0.887 -1.81e-14 2.09e-14
Itzy Ritzy -9.566e-15 7.84e-15 -1.220 0.223 -2.49e-14 5.8e-15
Ivanka Trump 3.5319 0.431 8.195 0.000 2.687 4.377
Ivory Ella 3.2476 0.160 20.237 0.000 2.933 3.562
Ivy & Blu 3.1531 0.608 5.182 0.000 1.961 4.346
Iz Byer 2.6749 0.431 6.208 0.000 1.830 3.519
J Brand 3.4657 0.436 7.955 0.000 2.612 4.320
J&L 2.0895 0.609 3.430 0.001 0.895 3.283
J. Crew 3.0407 0.067 45.131 0.000 2.909 3.173
J. Jill 2.9289 0.432 6.782 0.000 2.082 3.775
J.Crew 2.8947 0.431 6.720 0.000 2.050 3.739
J.Lo by Jennifer Lopez 2.6269 0.431 6.095 0.000 1.782 3.472
JBL 3.6691 0.279 13.141 0.000 3.122 4.216
JC Toys 3.0061 0.609 4.937 0.000 1.813 4.200
JCPenney 2.7431 0.131 20.881 0.000 2.486 3.001
JERZEES 2.9254 0.314 9.309 0.000 2.309 3.541
JJ Cole Collections 2.7850 0.433 6.430 0.000 1.936 3.634
JM Collection -3.894e-15 8.76e-15 -0.444 0.657 -2.11e-14 1.33e-14
JS Boutique 3.1035 0.609 5.095 0.000 1.910 4.297
JVC 5.948e-15 7.78e-15 0.764 0.445 -9.31e-15 2.12e-14
Jac Vanek -3.739e-15 1.11e-14 -0.335 0.737 -2.56e-14 1.81e-14
Jack Rogers 3.3273 0.251 13.278 0.000 2.836 3.819
Jaclyn Smith 2.2536 0.353 6.384 0.000 1.562 2.946
Jada Toys 2.6958 0.432 6.245 0.000 1.850 3.542
Jade 4.4093 0.608 7.248 0.000 3.217 5.602
Jafra 3.0804 0.353 8.720 0.000 2.388 3.773
Jagermeister 1.694e-14 7.46e-15 2.271 0.023 2.32e-15 3.16e-14
Jakks Pacific 2.5944 0.275 9.433 0.000 2.055 3.133
Jamberry 2.9972 0.434 6.908 0.000 2.147 3.848
Jambu 3.2277 0.609 5.304 0.000 2.035 4.420
James Avery 4.0305 0.098 41.040 0.000 3.838 4.223
James Jeans -2.216e-14 1.01e-14 -2.204 0.028 -4.19e-14 -2.46e-15
James Perse 2.9054 0.352 8.246 0.000 2.215 3.596
JanSport 2.9531 0.254 11.612 0.000 2.455 3.452
Jane Iredale 2.9918 0.432 6.932 0.000 2.146 3.838
Jason Wu 3.2100 0.614 5.230 0.000 2.007 4.413
Jay at Play 3.0445 0.621 4.904 0.000 1.828 4.261
Jazwares 1.011e-14 8.76e-15 1.154 0.248 -7.05e-15 2.73e-14
Jean Paul Gaultier -1.845e-15 1.22e-14 -0.151 0.880 -2.58e-14 2.21e-14
Jeanne Pierre 2.5059 0.609 4.117 0.000 1.313 3.699
Jeep 3.1650 0.667 4.748 0.000 1.858 4.472
Jeffery Campbell 3.7644 0.161 23.402 0.000 3.449 4.080
Jeffree Star Cosmetics 3.3763 0.085 39.547 0.000 3.209 3.544
Jeffrey Campbell 3.7086 0.431 8.603 0.000 2.864 4.553
Jelly Belly -1.38e-14 8.81e-15 -1.566 0.117 -3.11e-14 3.47e-15
Jennifer Lopez 2.7773 0.186 14.900 0.000 2.412 3.143
Jensen 3.5511 0.461 7.706 0.000 2.648 4.454
Jessica Howard 2.9760 0.434 6.862 0.000 2.126 3.826
Jessica McClintock 3.2490 0.431 7.537 0.000 2.404 4.094
Jessica Simpson 2.8522 0.094 30.493 0.000 2.669 3.035
Jim Shore 3.2242 0.251 12.853 0.000 2.733 3.716
Jimmy Choo 4.4027 0.232 18.947 0.000 3.947 4.858
Jockey 3.1031 0.306 10.135 0.000 2.503 3.703
Jodi Kristopher 3.3513 0.431 7.776 0.000 2.507 4.196
Joe Benbasset 2.5234 0.309 8.154 0.000 1.917 3.130
Joe's Jeans 2.8947 0.173 16.780 0.000 2.557 3.233
John Deere 2.4054 0.252 9.557 0.000 1.912 2.899
Johnson & Johnson 2.9987 0.263 11.420 0.000 2.484 3.513
Johnston & Murphy 1.212e-14 9.9e-15 1.224 0.221 -7.29e-15 3.15e-14
Joie 3.6050 0.431 8.367 0.000 2.761 4.449
Jolt 2.6162 0.274 9.545 0.000 2.079 3.153
Jolyn Clothing 3.4173 0.353 9.686 0.000 2.726 4.109
Jones New York 2.5909 0.232 11.153 0.000 2.136 3.046
Jonesport 2.9523 0.611 4.835 0.000 1.755 4.149
Joovy 4.2266 0.745 5.677 0.000 2.767 5.686
Jordache 2.2390 0.612 3.661 0.000 1.040 3.438
Jordan 3.3983 0.066 51.242 0.000 3.268 3.528
Jordan Craig 2.9209 0.657 4.447 0.000 1.634 4.208
Jordans 3.4719 0.090 38.382 0.000 3.295 3.649
Joseph Abboud 3.0893 0.632 4.891 0.000 1.851 4.327
Josephine Chaus -1.76e-14 1.16e-14 -1.519 0.129 -4.03e-14 5.11e-15
Josie 2.5554 0.609 4.199 0.000 1.362 3.748
Josie Maran 3.3552 0.608 5.515 0.000 2.163 4.548
Josie Natori 2.7174 0.431 6.305 0.000 1.873 3.562
Joujou 2.9085 0.431 6.741 0.000 2.063 3.754
Joules 4.887e-15 1.17e-14 0.418 0.676 -1.8e-14 2.78e-14
Journey Girls 3.2501 0.353 9.196 0.000 2.557 3.943
Jovani 4.7761 0.234 20.442 0.000 4.318 5.234
Judith March 1.275e-14 1.13e-14 1.132 0.258 -9.32e-15 3.48e-14
Juicy Couture 2.9874 0.064 46.875 0.000 2.862 3.112
Jump Apparel 3.0416 0.608 4.999 0.000 1.849 4.234
Jumping Beans 2.5652 0.179 14.331 0.000 2.214 2.916
Junk Food 1.343e-14 6.69e-15 2.008 0.045 3.23e-16 2.65e-14
Just Love 7.907e-15 9.46e-15 0.836 0.403 -1.06e-14 2.64e-14
Just My Size 2.5425 0.353 7.207 0.000 1.851 3.234
Just Play 3.8984 0.609 6.402 0.000 2.705 5.092
JustFab 2.7547 0.166 16.576 0.000 2.429 3.080
Justice 2.9130 0.071 41.090 0.000 2.774 3.052
Justin 2.7237 0.172 15.797 0.000 2.386 3.062
Justin Boots 3.3499 0.608 5.506 0.000 2.157 4.542
K'NEX 2.5981 0.615 4.222 0.000 1.392 3.804
K-SWISS 2.2636 0.306 7.394 0.000 1.664 2.864
KIKO MILANO 2.5178 0.608 4.138 0.000 1.325 3.710
KONG 2.6539 0.354 7.499 0.000 1.960 3.348
KUT from the Kloth 3.3443 0.432 7.740 0.000 2.497 4.191
KY 8.732e-15 1.17e-14 0.745 0.456 -1.42e-14 3.17e-14
Kae Argatherapie 1.7541 0.609 2.882 0.004 0.561 2.947
Kala 3.5551 0.503 7.066 0.000 2.569 4.541
Kanga Care 2.5217 0.616 4.094 0.000 1.314 3.729
Kangol 9.128e-15 1.06e-14 0.865 0.387 -1.16e-14 2.98e-14
Kappa 3.1219 0.609 5.130 0.000 1.929 4.315
Kardashian Kollection 2.6914 0.195 13.792 0.000 2.309 3.074
Karen Kane 7.215e-15 1.07e-14 0.674 0.500 -1.38e-14 2.82e-14
Karen Scott 2.5121 0.306 8.211 0.000 1.912 3.112
Kasper 2.9011 0.611 4.744 0.000 1.703 4.100
Kat Von D 3.2587 0.061 53.293 0.000 3.139 3.379
Kat Von D Beauty -2.43e-15 8.95e-15 -0.272 0.786 -2e-14 1.51e-14
Kate Landry 2.6846 0.608 4.412 0.000 1.492 3.877
Kate Somerville 3.3175 0.608 5.453 0.000 2.125 4.510
Kate Spade 3.8193 0.046 83.902 0.000 3.730 3.909
Kathy Van Zeeland 2.5023 0.353 7.090 0.000 1.811 3.194
Kay Jewelers 3.7650 0.250 15.039 0.000 3.274 4.256
Kaytee 2.6775 0.443 6.050 0.000 1.810 3.545
Keds 2.6777 0.251 10.673 0.000 2.186 3.169
Kelly & Katie 2.9135 0.609 4.788 0.000 1.721 4.106
Kelsi Dagger -1.569e-14 9.78e-15 -1.604 0.109 -3.49e-14 3.48e-15
Kenar 2.3450 0.610 3.842 0.000 1.149 3.541
Kendall & Kylie 2.8867 0.205 14.059 0.000 2.484 3.289
Kendra Scott 4.5818 0.048 94.639 0.000 4.487 4.677
Kenneth Cole -2.379e-14 8.85e-15 -2.688 0.007 -4.11e-14 -6.44e-15
Kenneth Cole New York 2.8751 0.166 17.297 0.000 2.549 3.201
Kenneth Cole Reaction 2.7574 0.283 9.738 0.000 2.202 3.312
Kenneth Jay Lane -8.999e-15 9.52e-15 -0.946 0.344 -2.77e-14 9.65e-15
Kensie 2.8241 0.612 4.618 0.000 1.625 4.023
Kenwood 2.8353 0.489 5.796 0.000 1.877 3.794
Kenzo 3.1781 0.608 5.223 0.000 1.985 4.371
Keranique 3.0758 0.611 5.030 0.000 1.877 4.274
Keurig 3.2460 0.106 30.675 0.000 3.039 3.453
Kibbles 'n Bits 3.2404 0.355 9.140 0.000 2.545 3.935
KidCo -4.576e-17 9.69e-15 -0.005 0.996 -1.9e-14 1.9e-14
Kids Preferred -2.889e-14 1.04e-14 -2.790 0.005 -4.92e-14 -8.59e-15
Kidsline 2.0920 0.613 3.415 0.001 0.891 3.293
Kiehl's 3.2283 0.156 20.655 0.000 2.922 3.535
Kiinde 3.7952 0.615 6.169 0.000 2.589 5.001
Kim Rogers 2.2179 0.355 6.248 0.000 1.522 2.914
Kimchi Blue 2.8639 0.217 13.171 0.000 2.438 3.290
KinderGlo 2.6940 0.619 4.351 0.000 1.480 3.908
Kipling 2.3430 0.431 5.436 0.000 1.498 3.188
Kiplling 2.8247 0.219 12.884 0.000 2.395 3.254
Kirra 2.3804 0.431 5.524 0.000 1.536 3.225
KitchenAid 3.4679 0.192 18.054 0.000 3.091 3.844
Kleenex 2.9003 0.433 6.702 0.000 2.052 3.748
Klipsch 3.257e-14 1.05e-14 3.096 0.002 1.19e-14 5.32e-14
Koala Baby 2.5764 0.609 4.229 0.000 1.382 3.770
Kodak 2.3811 0.260 9.173 0.000 1.872 2.890
Kolcraft 1.3043 0.677 1.928 0.054 -0.022 2.630
Koman 2.4043 0.614 3.917 0.000 1.201 3.607
Konami 2.7718 0.094 29.481 0.000 2.588 2.956
Kooba 2.8777 0.609 4.728 0.000 1.685 4.071
Koret 3.1229 0.609 5.130 0.000 1.930 4.316
Kork-Ease 3.2109 0.608 5.277 0.000 2.018 4.404
Kotex 2.9799 0.183 16.255 0.000 2.621 3.339
Kuhl 3.9560 0.623 6.349 0.000 2.735 5.177
Kurgo -3.294e-14 1.09e-14 -3.011 0.003 -5.44e-14 -1.15e-14
Kylie Cosmetics 3.2486 0.055 59.581 0.000 3.142 3.356
Kyocera 1.3165 0.609 2.162 0.031 0.123 2.510
Kyodan 2.8599 0.306 9.353 0.000 2.261 3.459
L'Oreal 2.6048 0.072 36.089 0.000 2.463 2.746
L*SPACE 3.2229 0.431 7.474 0.000 2.378 4.068
L.A. Blues 2.3140 0.612 3.784 0.000 1.116 3.513
L.A.M.B. 3.4151 0.251 13.621 0.000 2.924 3.906
L.L. Bean 3.5740 0.129 27.659 0.000 3.321 3.827
LA Hearts 2.6113 0.195 13.364 0.000 2.228 2.994
LA Idol 3.1457 0.275 11.453 0.000 2.607 3.684
LC Lauren Conrad 2.8580 0.103 27.661 0.000 2.655 3.060
LEGO 3.3113 0.109 30.421 0.000 3.098 3.525
LF 3.7214 0.131 28.376 0.000 3.464 3.978
LG 3.1581 0.090 34.969 0.000 2.981 3.335
LOFT 2.3481 0.306 7.679 0.000 1.749 2.947
LRG 3.3192 0.354 9.366 0.000 2.625 4.014
La Blanca 2.7313 0.608 4.489 0.000 1.539 3.924
La Femme 4.9798 0.609 8.176 0.000 3.786 6.174
La Perla 3.4198 0.608 5.621 0.000 2.227 4.612
LaCie 3.9908 0.619 6.451 0.000 2.778 5.203
Lacoste 3.1086 0.103 30.168 0.000 2.907 3.311
Lafayette New York 3.0375 0.609 4.991 0.000 1.845 4.230
Lalaloopsy 3.0427 0.181 16.819 0.000 2.688 3.397
Lamaze -7.277e-15 9.27e-15 -0.785 0.433 -2.54e-14 1.09e-14
Lambs & Ivy 2.4564 0.613 4.010 0.000 1.256 3.657
Lancome 3.1261 0.068 45.740 0.000 2.992 3.260
Lancôme 2.7564 0.609 4.523 0.000 1.562 3.951
Lands' End 2.6097 0.206 12.676 0.000 2.206 3.013
Lane Bryant 2.7286 0.103 26.441 0.000 2.526 2.931
Lansinoh 2.9379 0.241 12.170 0.000 2.465 3.411
Lanvin 4.3149 0.609 7.082 0.000 3.121 5.509
Lapis 1.316e-14 1.13e-14 1.166 0.244 -8.96e-15 3.53e-14
Laredo 3.5865 0.608 5.895 0.000 2.394 4.779
Larry Levine 2.6461 0.616 4.294 0.000 1.438 3.854
Last Kiss 2.3225 0.610 3.808 0.000 1.127 3.518
Laundry by Shelli Segal -7.624e-15 9.9e-15 -0.770 0.441 -2.7e-14 1.18e-14
Laura Ashley 3.0213 0.433 6.973 0.000 2.172 3.870
Laura Geller 3.0916 0.132 23.501 0.000 2.834 3.349
Laura Mercier 3.2043 0.103 31.008 0.000 3.002 3.407
Laura Scott 2.4755 0.353 7.016 0.000 1.784 3.167
Laurel Burch 3.6277 0.609 5.961 0.000 2.435 4.821
Lauren Conrad 2.9273 0.353 8.300 0.000 2.236 3.619
Lauren Ralph Lauren 3.0898 0.122 25.333 0.000 2.851 3.329
Le Creuset 3.0730 0.237 12.945 0.000 2.608 3.538
LeSportsac 3.2006 0.609 5.258 0.000 2.008 4.394
Leap Frog 3.0765 0.160 19.193 0.000 2.762 3.391
Lee 2.6780 0.208 12.859 0.000 2.270 3.086
Leith 2.5990 0.705 3.687 0.000 1.217 3.981
Lela Rose 2.1469 0.609 3.526 0.000 0.954 3.340
Lenox 3.2075 0.207 15.480 0.000 2.801 3.614
Letarte 2.9740 0.608 4.888 0.000 1.782 4.166
Level 2.6233 0.609 4.309 0.000 1.430 3.817
Levi Strauss & Co. 3.1812 0.234 13.614 0.000 2.723 3.639
Levi's® 2.8771 0.055 52.693 0.000 2.770 2.984
Lexar 2.2273 0.619 3.601 0.000 1.015 3.440
Lexmark 4.3104 0.620 6.952 0.000 3.095 5.526
Lia Sophia 2.7227 0.352 7.727 0.000 2.032 3.413
Liberty Apparel 3.0414 0.667 4.560 0.000 1.734 4.349
Life Is Good 2.5980 0.218 11.936 0.000 2.171 3.025
Life Stride -7.189e-15 1e-14 -0.719 0.472 -2.68e-14 1.24e-14
Liliana 9.95e-15 1.08e-14 0.922 0.357 -1.12e-14 3.11e-14
Lilly Pulitzer 3.6086 0.055 65.580 0.000 3.501 3.716
Lilly Pulitzer for Target 3.9345 0.431 9.131 0.000 3.090 4.779
Lily White 2.4350 0.354 6.882 0.000 1.742 3.128
Lilyette 2.3734 0.608 3.901 0.000 1.181 3.566
Lime Crime 3.1374 0.115 27.309 0.000 2.912 3.363
Lime Crime Cosmetics 4.3597 0.609 7.162 0.000 3.167 5.553
Limited Too 1.439e-14 9.96e-15 1.445 0.149 -5.13e-15 3.39e-14
Lincoln Logs 2.5999 0.615 4.224 0.000 1.394 3.806
Linea Donatella -1.602e-14 1.09e-14 -1.469 0.142 -3.74e-14 5.35e-15
Linksys 2.3509 0.470 5.005 0.000 1.430 3.271
Lipsy 1.321e-14 1.12e-14 1.176 0.240 -8.81e-15 3.52e-14
Liquid Blue 3.1244 0.431 7.246 0.000 2.279 3.969
Listerine 8.391e-15 8.76e-15 0.958 0.338 -8.78e-15 2.56e-14
Lite Brix -1.819e-14 1e-14 -1.811 0.070 -3.79e-14 1.5e-15
Litter Genie 3.1147 0.612 5.090 0.000 1.915 4.314
Little Gifts -3.014e-15 1.2e-14 -0.252 0.801 -2.65e-14 2.05e-14
Little Tikes 3.0754 0.255 12.067 0.000 2.576 3.575
Littlest Pet Shop 2.7226 0.070 39.168 0.000 2.586 2.859
Live a Little 2.9832 0.609 4.901 0.000 1.790 4.176
Liz & Co. 3.404e-15 9.66e-15 0.352 0.725 -1.55e-14 2.23e-14
Liz Claiborne 2.6587 0.148 18.025 0.000 2.370 2.948
Liz Lange 2.6528 0.130 20.393 0.000 2.398 2.908
Liz Lange for Target 2.8016 0.438 6.393 0.000 1.943 3.661
Loeffler Randall 3.8556 0.609 6.336 0.000 2.663 5.048
Logitech 2.8488 0.201 14.195 0.000 2.455 3.242
Lokai 2.8128 0.157 17.929 0.000 2.505 3.120
Lola 3.1166 0.446 6.994 0.000 2.243 3.990
Lolita 2.9167 0.355 8.222 0.000 2.221 3.612
London Fog 3.0321 0.251 12.076 0.000 2.540 3.524
London Jeans 2.2603 0.659 3.432 0.001 0.970 3.551
London Times 2.6516 0.353 7.518 0.000 1.960 3.343
Longaberger 3.0441 0.190 16.029 0.000 2.672 3.416
Longchamp 3.2980 0.353 9.354 0.000 2.607 3.989
Longchamp Paris 3.4149 0.274 12.460 0.000 2.878 3.952
Looney Tunes 3.2320 0.614 5.266 0.000 2.029 4.435
Lorac 3.2837 0.083 39.330 0.000 3.120 3.447
Lorna Jane 2.7525 0.608 4.525 0.000 1.560 3.945
Lou & Grey 1.608e-14 1.01e-14 1.598 0.110 -3.64e-15 3.58e-14
Loudmouth Golf 3.5984 0.616 5.839 0.000 2.390 4.806
Louis Vuitton 4.6283 0.054 85.926 0.000 4.523 4.734
Louisville Slugger 3.5562 0.368 9.662 0.000 2.835 4.278
Loungefly 3.0240 0.432 7.006 0.000 2.178 3.870
Love Culture 2.6721 0.612 4.364 0.000 1.472 3.872
Love Riche 2.7234 0.608 4.476 0.000 1.531 3.916
Lovers + Friends 3.062e-15 8.22e-15 0.372 0.710 -1.31e-14 1.92e-14
LuLaRoe 3.2348 0.036 89.337 0.000 3.164 3.306
LucasArts Entertainment 2.2163 0.609 3.642 0.000 1.023 3.409
Lucca -7.913e-15 9.83e-15 -0.805 0.421 -2.72e-14 1.14e-14
Lucky Brand 3.0362 0.073 41.512 0.000 2.893 3.180
Lucky Brand Jeans 3.2239 0.353 9.140 0.000 2.533 3.915
Lucy Activewear 2.7339 0.250 10.925 0.000 2.243 3.224
Luli Fama 3.9084 0.609 6.423 0.000 2.716 5.101
Lulu 2.4386 0.608 4.008 0.000 1.246 3.631
Lulu Townsend 2.7080 0.609 4.448 0.000 1.515 3.901
Lulu's 2.9148 0.274 10.624 0.000 2.377 3.453
Lululemon 3.7117 0.039 95.422 0.000 3.635 3.788
LulyBoo 1.6798 0.304 5.532 0.000 1.085 2.275
Lunaire 2.5021 0.608 4.113 0.000 1.310 3.695
Lush 3.0978 0.077 40.368 0.000 2.947 3.248
Luvable Friends 2.2740 0.633 3.591 0.000 1.033 3.515
Luvs 2.5862 0.372 6.959 0.000 1.858 3.315
Lux 2.3691 0.432 5.485 0.000 1.522 3.216
Lysol 2.6856 0.315 8.518 0.000 2.068 3.304
M 3.4345 0.218 15.751 0.000 3.007 3.862
M.I.A. 2.9297 0.218 13.459 0.000 2.503 3.356
MAC 3.2909 0.048 69.126 0.000 3.198 3.384
MAC Cosmetics 3.3570 0.431 7.783 0.000 2.512 4.202
MAKE UP FOR EVER 2.8239 0.161 17.576 0.000 2.509 3.139
MAM Baby 3.2728 0.315 10.382 0.000 2.655 3.891
MARC BY MARC JACOBS 3.7273 0.106 35.178 0.000 3.520 3.935
MARC JACOBS 3.4232 0.071 48.375 0.000 3.284 3.562
MCM 5.1500 0.274 18.775 0.000 4.612 5.688
MCM Worldwide 4.2212 0.251 16.836 0.000 3.730 4.713
MEK 4.2540 0.432 9.846 0.000 3.407 5.101
MGA Entertainment 2.7774 0.150 18.520 0.000 2.483 3.071
MIA 2.6855 0.352 7.619 0.000 1.995 3.376
MICHELE 4.7818 0.609 7.848 0.000 3.588 5.976
MICHI by Michelle Watson 2.5878 0.433 5.982 0.000 1.740 3.436
MINIMALE ANIMALE 3.5882 0.609 5.897 0.000 2.396 4.781
MINKPINK 3.6655 0.432 8.483 0.000 2.819 4.512
MIU MIU 3.1910 0.431 7.400 0.000 2.346 4.036
MIkoh 3.8502 0.353 10.897 0.000 3.158 4.543
MLB 2.8795 0.112 25.610 0.000 2.659 3.100
MSI 3.0362 0.643 4.725 0.000 1.777 4.296
MSK 3.1153 0.608 5.121 0.000 1.923 4.308
Maaji 3.4140 0.431 7.921 0.000 2.569 4.259
Mac Cosmetic 3.3360 0.108 30.765 0.000 3.123 3.548
Mac Duggal 3.6286 0.608 5.964 0.000 2.436 4.821
Machine 2.5819 0.262 9.852 0.000 2.068 3.096
Maclaren 2.5116 0.645 3.895 0.000 1.248 3.775
Macy's 3.4190 0.274 12.476 0.000 2.882 3.956
Madame Alexander 2.7953 0.432 6.475 0.000 1.949 3.641
Madden Girl 2.6807 0.251 10.701 0.000 2.190 3.172
Madewell 3.4702 0.140 24.708 0.000 3.195 3.746
Madison 3.1033 0.609 5.095 0.000 1.910 4.297
Maeve 2.3772 0.431 5.517 0.000 1.533 3.222
Magazine 2.5592 0.609 4.199 0.000 1.365 3.754
Magellan® 2.6325 0.360 7.320 0.000 1.928 3.337
Maggie Barnes -5.135e-15 1.18e-14 -0.434 0.664 -2.83e-14 1.8e-14
Magic Bullet 3.0194 0.213 14.177 0.000 2.602 3.437
Magnavox 2.5026 0.366 6.842 0.000 1.786 3.220
Maidenform 3.1461 0.274 11.484 0.000 2.609 3.683
Maison Goyard 1.458e-14 9.12e-15 1.599 0.110 -3.29e-15 3.24e-14
Maison Martin Margiela 4.7753 0.609 7.838 0.000 3.581 5.969
Maisto 3.3213 0.438 7.590 0.000 2.464 4.179
Majestic 3.2310 0.154 21.013 0.000 2.930 3.532
Makeup Geek 2.9564 0.608 4.859 0.000 1.764 4.149
Mally Beauty 3.4815 0.352 9.880 0.000 2.791 4.172
Mamia 3.6242 0.608 5.957 0.000 2.432 4.817
Manduka 3.7509 0.321 11.675 0.000 3.121 4.381
Mango 2.6460 0.306 8.640 0.000 2.046 3.246
Manhattan Toy 2.5334 0.611 4.147 0.000 1.336 3.731
Manic Panic 2.8187 0.321 8.786 0.000 2.190 3.447
Manolo Blahnik 4.1931 0.432 9.714 0.000 3.347 5.039
Marc Ecko 1.658e-14 9.56e-15 1.735 0.083 -2.15e-15 3.53e-14
Marc Fisher 3.4896 0.608 5.735 0.000 2.297 4.682
Marc New York 2.7194 0.431 6.305 0.000 1.874 3.565
Marciano 3.1373 0.352 8.904 0.000 2.447 3.828
Margaritaville 2.4920 0.609 4.090 0.000 1.298 3.686
Marika 2.7624 0.306 9.040 0.000 2.164 3.361
Marimekko 1.208e-14 1.19e-14 1.018 0.309 -1.12e-14 3.53e-14
Marineland -1.031e-14 8.79e-15 -1.173 0.241 -2.75e-14 6.92e-15
Mario Badescu Skin Care 2.5317 0.608 4.161 0.000 1.339 3.724
Marmot 3.1505 0.307 10.275 0.000 2.550 3.751
Marni 3.5930 0.608 5.906 0.000 2.401 4.785
Martha Stewart 2.5296 0.256 9.880 0.000 2.028 3.031
Marucci 4.291e-15 1.01e-14 0.426 0.670 -1.55e-14 2.41e-14
Marvel 2.9661 0.096 30.927 0.000 2.778 3.154
Marvel Universe -7.891e-15 1.16e-14 -0.680 0.496 -3.06e-14 1.48e-14
Mary Kay 3.0187 0.058 52.039 0.000 2.905 3.132
Masquerade -1.777e-14 9.42e-15 -1.887 0.059 -3.62e-14 6.84e-16
Masters 3.5456 0.432 8.215 0.000 2.700 4.392
Matchbox 3.3223 0.356 9.324 0.000 2.624 4.021
Material Girl 2.2893 0.218 10.517 0.000 1.863 2.716
Mattel® 2.9703 0.066 44.731 0.000 2.840 3.100
Maui & Sons 3.9904 0.612 6.518 0.000 2.790 5.190
Maurices 2.6605 0.065 40.694 0.000 2.532 2.789
Max Factor 2.0318 0.431 4.716 0.000 1.187 2.876
Max Studio 3.0615 0.232 13.179 0.000 2.606 3.517
Maxi-Cosi 3.5233 0.384 9.178 0.000 2.771 4.276
Maybelline 2.4685 0.065 37.946 0.000 2.341 2.596
McDavid 3.1812 0.609 5.222 0.000 1.987 4.375
McFarlane Sports -1.857e-14 9.59e-15 -1.936 0.053 -3.74e-14 2.28e-16
McFarlane Toys 3.4449 0.353 9.763 0.000 2.753 4.137
Medela 3.2801 0.137 23.895 0.000 3.011 3.549
Mega Bloks 2.7063 0.215 12.597 0.000 2.285 3.127
Mega Hobby 5.971e-15 9.67e-15 0.617 0.537 -1.3e-14 2.49e-14
Mel by Melissa 3.4919 0.609 5.738 0.000 2.299 4.685
Melissa 3.717e-14 1.19e-14 3.125 0.002 1.39e-14 6.05e-14
Melissa & Doug 2.9466 0.170 17.379 0.000 2.614 3.279
Melt Cosmetics 3.2382 0.608 5.323 0.000 2.046 4.431
Members Only -1.635e-14 8.35e-15 -1.958 0.050 -3.27e-14 1.51e-17
Meme 4.0105 0.608 6.591 0.000 2.818 5.203
Merle Norman 2.8538 0.352 8.097 0.000 2.163 3.545
Mermaid Maternity 2.6083 0.609 4.280 0.000 1.414 3.803
Merona 2.5007 0.075 33.488 0.000 2.354 2.647
Merrell 2.6743 0.161 16.597 0.000 2.359 2.990
Metal Mulisha 3.0214 0.156 19.407 0.000 2.716 3.327
Metaphor 2.1437 0.609 3.522 0.000 0.951 3.337
Mezco 2.9345 0.609 4.815 0.000 1.740 4.129
Michael Kors 3.7965 0.040 95.227 0.000 3.718 3.875
Michael Stars 2.7950 0.306 9.127 0.000 2.195 3.395
Miche -5.769e-15 9.01e-15 -0.641 0.522 -2.34e-14 1.19e-14
Micro Innovations 3.2725 0.609 5.377 0.000 2.080 4.465
Microsoft 3.1507 0.093 33.911 0.000 2.969 3.333
Middleton Doll Company 3.7452 0.307 12.219 0.000 3.144 4.346
Mighty Fine 2.7040 0.609 4.444 0.000 1.511 3.897
Mikasa 3.7938 0.438 8.653 0.000 2.934 4.653
Mikimoto 5.3759 0.608 8.836 0.000 4.183 6.568
Milani 2.6147 0.086 30.312 0.000 2.446 2.784
Milani Cosmetics -5.583e-16 1.07e-14 -0.052 0.958 -2.15e-14 2.04e-14
Miley Cyrus 2.5765 0.353 7.303 0.000 1.885 3.268
Millau 3.2847 0.608 5.399 0.000 2.092 4.477
Miller 2.6519 0.609 4.358 0.000 1.459 3.845
Milly 3.6189 0.431 8.399 0.000 2.774 4.463
Mimi 2.8724 0.431 6.664 0.000 2.028 3.717
Mini Melissa 4.2334 0.431 9.811 0.000 3.388 5.079
Minnetonka 2.9845 0.274 10.891 0.000 2.447 3.522
Miraclesuit® 2.8612 0.431 6.634 0.000 2.016 3.707
Mirro 2.607e-14 1.12e-14 2.321 0.020 4.06e-15 4.81e-14
Misfits 3.4400 0.611 5.631 0.000 2.243 4.637
Miss Chievous 3.7292 0.608 6.130 0.000 2.537 4.922
Miss Me 3.5315 0.058 61.194 0.000 3.418 3.645
Missguided 3.0666 0.255 12.032 0.000 2.567 3.566
Mission 2.106e-14 1.04e-14 2.023 0.043 6.57e-16 4.15e-14
Missoni 2.6255 0.431 6.087 0.000 1.780 3.471
Mitchell & Ness 2.9602 0.168 17.670 0.000 2.632 3.289
Mitchum 2.3110 0.610 3.791 0.000 1.116 3.506
Mitsubishi 3.3689 0.619 5.446 0.000 2.156 4.581
Mixit 2.2206 0.431 5.153 0.000 1.376 3.065
Mizuno 3.0593 0.178 17.227 0.000 2.711 3.407
Moa Moa 2.7191 0.609 4.467 0.000 1.526 3.912
Moda International 2.4811 0.308 8.051 0.000 1.877 3.085
Modcloth 3.0363 0.187 16.280 0.000 2.671 3.402
Modern Amusement 3.4523 0.614 5.623 0.000 2.249 4.656
Moncler 4.8489 0.360 13.461 0.000 4.143 5.555
Mongoose -1.911e-14 1.03e-14 -1.849 0.064 -3.94e-14 1.15e-15
Monistat 2.5718 0.610 4.219 0.000 1.377 3.767
Monopoly 2.8077 0.285 9.851 0.000 2.249 3.366
Monoreno 2.4592 0.609 4.040 0.000 1.266 3.652
Monster Cable -4.416e-15 1.14e-14 -0.388 0.698 -2.67e-14 1.79e-14
Monteau 2.5783 0.353 7.304 0.000 1.886 3.270
Moon Boot 2.0138 0.608 3.310 0.001 0.821 3.206
Moose Toys 2.7995 0.097 28.988 0.000 2.610 2.989
Mopar -1.498e-14 1.26e-14 -1.189 0.234 -3.97e-14 9.71e-15
Mopas 2.5553 0.608 4.201 0.000 1.363 3.747
Morgan & Co. 9.259e-15 9.47e-15 0.978 0.328 -9.3e-15 2.78e-14
Morphe Cosmetics 3.3100 0.086 38.372 0.000 3.141 3.479
Moschino 4.1807 0.623 6.716 0.000 2.961 5.401
Mossimo 2.4918 0.060 41.310 0.000 2.374 2.610
Mossimo Supply Co. 2.4740 0.129 19.231 0.000 2.222 2.726
Mossy Oak 2.7685 0.212 13.072 0.000 2.353 3.184
Motherhood 2.3289 0.433 5.381 0.000 1.481 3.177
Motherhood Maternity 2.8635 0.102 28.115 0.000 2.664 3.063
Motorcycle Stuff 2.6448 0.497 5.323 0.000 1.671 3.619
Motorola 3.2746 0.278 11.769 0.000 2.729 3.820
Moulinette Soeurs 2.8139 0.608 4.625 0.000 1.621 4.007
Mountain Hardwear 2.6564 0.432 6.156 0.000 1.811 3.502
Mountain Lake 2.7394 0.610 4.488 0.000 1.543 3.936
Movado 4.2815 0.432 9.917 0.000 3.435 5.128
Moving Comfort 3.0993 0.353 8.780 0.000 2.407 3.791
Mr. Coffee 3.1587 0.367 8.605 0.000 2.439 3.878
Mud Pie 2.9633 0.614 4.822 0.000 1.759 4.168
Mudd 2.3902 0.115 20.872 0.000 2.166 2.615
Muk Luks 2.5037 0.610 4.101 0.000 1.307 3.700
Mulberry 2.5368 0.612 4.144 0.000 1.337 3.737
Munchkin 2.6147 0.160 16.338 0.000 2.301 2.928
Murad 2.8279 0.431 6.560 0.000 1.983 3.673
Muse 3.0492 0.616 4.948 0.000 1.841 4.257
My Brest Friend 3.2096 0.626 5.131 0.000 1.984 4.436
My Little Pony 2.8643 0.133 21.581 0.000 2.604 3.124
My Michelle 2.3324 0.277 8.433 0.000 1.790 2.874
Mylec -8.28e-16 1.07e-14 -0.077 0.939 -2.19e-14 2.02e-14
Mystic 2.1081 0.431 4.891 0.000 1.263 2.953
NASCAR 2.2060 0.433 5.098 0.000 1.358 3.054
NBA 2.6622 0.109 24.414 0.000 2.449 2.876
NCAA 3.5267 0.611 5.770 0.000 2.329 4.725
NECA 3.5360 0.353 10.009 0.000 2.844 4.228
NFL 2.7819 0.069 40.055 0.000 2.646 2.918
NHL 3.0358 0.251 12.101 0.000 2.544 3.528
NIC+ZOE 2.7695 0.431 6.427 0.000 1.925 3.614
NYC 2.2169 0.608 3.644 0.000 1.025 3.409
NYDJ 2.9069 0.609 4.777 0.000 1.714 4.100
NYX 2.6862 0.055 48.529 0.000 2.578 2.795
Naked Zebra 3.0870 0.608 5.074 0.000 1.895 4.279
Nana 2.8909 0.608 4.752 0.000 1.699 4.083
Nanette Lepore 2.4892 0.621 4.008 0.000 1.272 3.707
Nars 3.2324 0.078 41.683 0.000 3.080 3.384
Nasty Gal 3.0608 0.108 28.320 0.000 2.849 3.273
Native 3.6751 0.274 13.410 0.000 3.138 4.212
Naturalizer 2.7939 0.609 4.585 0.000 1.600 3.988
Nautica 2.7406 0.145 18.905 0.000 2.456 3.025
Necessary Clothing 2.7677 0.608 4.549 0.000 1.575 3.960
Neff 2.9604 0.306 9.660 0.000 2.360 3.561
Neff Headwear 2.8288 0.609 4.645 0.000 1.635 4.022
Neiman Marcus 3.2803 0.306 10.728 0.000 2.681 3.880
Nerf 3.0243 0.172 17.564 0.000 2.687 3.362
Nespresso 3.7555 0.353 10.626 0.000 3.063 4.448
Netgear 3.0660 0.248 12.345 0.000 2.579 3.553
Neutrogena 2.6834 0.157 17.046 0.000 2.375 2.992
New Balance 2.7634 0.090 30.812 0.000 2.588 2.939
New Directions 2.8842 0.196 14.746 0.000 2.501 3.268
New Era 3.2267 0.102 31.551 0.000 3.026 3.427
New Look -1.875e-14 9.99e-15 -1.877 0.061 -3.83e-14 8.33e-16
New York & Company 2.6376 0.085 30.985 0.000 2.471 2.804
New York Color 1.796e-15 1.05e-14 0.170 0.865 -1.89e-14 2.25e-14
Newport News 2.6063 0.431 6.045 0.000 1.761 3.451
Next 2.4675 0.431 5.726 0.000 1.623 3.312
Next Level 2.5783 0.431 5.985 0.000 1.734 3.423
Next Level Apparel 2.6077 0.306 8.533 0.000 2.009 3.207
Nick & Nora 2.7576 0.432 6.380 0.000 1.910 3.605
Nick Jr. 2.8344 0.233 12.174 0.000 2.378 3.291
Nickelodeon 2.7434 0.111 24.805 0.000 2.527 2.960
Nicole Lee 1.043e-14 1.07e-14 0.976 0.329 -1.05e-14 3.14e-14
Nicole Miller 2.6114 0.306 8.536 0.000 2.012 3.211
Nicole by Nicole Miller 2.5736 0.431 5.974 0.000 1.729 3.418
Nike 3.0275 0.035 85.632 0.000 2.958 3.097
Nike Golf 2.8111 0.298 9.444 0.000 2.228 3.395
Nikon 3.4606 0.142 24.369 0.000 3.182 3.739
Nina 2.7223 0.609 4.471 0.000 1.529 3.916
Nine West 2.6875 0.093 29.017 0.000 2.506 2.869
Ninja 3.2905 0.282 11.649 0.000 2.737 3.844
Nintendo 3.1152 0.044 70.618 0.000 3.029 3.202
Nivea 2.7540 0.206 13.342 0.000 2.349 3.159
Nixon 3.5792 0.210 17.018 0.000 3.167 3.991
No Boundaries 2.3328 0.100 23.396 0.000 2.137 2.528
No7 Make-up 2.5514 0.608 4.194 0.000 1.359 3.744
NoJo 3.1672 0.314 10.081 0.000 2.551 3.783
Nobo 1.8472 0.431 4.286 0.000 1.003 2.692
Nokia 2.7200 0.431 6.309 0.000 1.875 3.565
Nollie 2.6386 0.217 12.134 0.000 2.212 3.065
Nordstrom 3.1944 0.086 37.299 0.000 3.027 3.362
Nordstrom Baby -1.311e-14 8.36e-15 -1.569 0.117 -2.95e-14 3.27e-15
Norelco 4.0393 0.433 9.334 0.000 3.191 4.887
Nostalgia 2.9988 0.610 4.918 0.000 1.804 4.194
Nostalgia Electrics 3.5447 0.312 11.349 0.000 2.933 4.157
Not Rated 1.988e-15 1.15e-14 0.174 0.862 -2.05e-14 2.44e-14
Notations 2.9013 0.306 9.486 0.000 2.302 3.501
Novella Royale 7.35e-15 1.07e-14 0.690 0.490 -1.35e-14 2.82e-14
Nuby 2.5521 0.281 9.078 0.000 2.001 3.103
Nuk 2.4840 0.263 9.441 0.000 1.968 3.000
Nursery Fresh 3.0602 0.874 3.502 0.000 1.347 4.773
Nylabone 2.5832 0.610 4.233 0.000 1.387 3.779
O'Neill 2.6796 0.196 13.671 0.000 2.295 3.064
O.B. 2.9719 0.433 6.868 0.000 2.124 3.820
OGIO® 2.5798 0.611 4.222 0.000 1.382 3.777
OGX -5.481e-15 1.03e-14 -0.533 0.594 -2.56e-14 1.47e-14
OPI 2.9593 0.432 6.855 0.000 2.113 3.805
Oakley 3.5780 0.103 34.759 0.000 3.376 3.780
Obagi 2.8085 0.608 4.616 0.000 1.616 4.001
Obey 3.0878 0.188 16.445 0.000 2.720 3.456
Obey Clothing 2.7956 0.218 12.846 0.000 2.369 3.222
Ocean Current 2.6681 0.619 4.311 0.000 1.455 3.881
Ocean Drive 3.4403 0.608 5.655 0.000 2.248 4.633
Ocean Pacific 2.5780 0.433 5.950 0.000 1.729 3.427
Odyssey 1.4674 0.654 2.244 0.025 0.186 2.749
Off-White 4.2459 0.274 15.482 0.000 3.708 4.783
Office Depot 2.9913 0.135 22.214 0.000 2.727 3.255
Oh Baby by Motherhood 2.8642 0.356 8.036 0.000 2.166 3.563
Okie Dokie 2.7576 0.610 4.524 0.000 1.563 3.952
Olay 2.7477 0.186 14.803 0.000 2.384 3.112
Old Navy 2.5906 0.043 60.552 0.000 2.507 2.674
Old Spice 1.5924 0.610 2.612 0.009 0.398 2.787
Old Varsity Brand -5.909e-15 1.01e-14 -0.584 0.560 -2.58e-14 1.39e-14
Ole Henricksen 3.3174 0.608 5.452 0.000 2.125 4.510
Olga 2.7706 0.431 6.429 0.000 1.926 3.615
Olive & Oak 2.5616 0.433 5.921 0.000 1.714 3.410
Oliver Peoples 3.4540 0.609 5.672 0.000 2.260 4.648
Olivia + Joy 2.8314 0.610 4.639 0.000 1.635 4.028
Olsenboye 2.6170 0.608 4.302 0.000 1.425 3.809
OluKai 3.4572 0.609 5.677 0.000 2.264 4.651
Omega 3.4439 0.617 5.582 0.000 2.235 4.653
On the Byas 2.8795 0.275 10.466 0.000 2.340 3.419
On-Stage Stands 3.7158 0.630 5.898 0.000 2.481 4.951
One Clothing 2.6671 0.432 6.170 0.000 1.820 3.514
One Step Up -1.229e-15 1.11e-14 -0.110 0.912 -2.31e-14 2.06e-14
One Teaspoon 4.1427 0.232 17.819 0.000 3.687 4.598
One World 2.9355 0.306 9.594 0.000 2.336 3.535
Only Hearts 2.6041 0.608 4.280 0.000 1.412 3.797
Onzie -9.123e-15 8.39e-15 -1.087 0.277 -2.56e-14 7.33e-15
Op 2.5071 0.161 15.572 0.000 2.192 2.823
Opti-Free 2.5732 0.610 4.221 0.000 1.378 3.768
Oral B 3.2056 0.277 11.580 0.000 2.663 3.748
Orbit Baby 4.5079 0.325 13.853 0.000 3.870 5.146
Origins 2.8822 0.173 16.671 0.000 2.543 3.221
Orla Kiely 3.2010 0.609 5.253 0.000 2.007 4.395
Oscar de la Renta 2.5025 0.609 4.112 0.000 1.310 3.695
Osh Kosh B'gosh 2.5550 0.080 31.863 0.000 2.398 2.712
Osprey 2.6078 0.609 4.284 0.000 1.415 3.801
Oster 3.0231 0.438 6.900 0.000 2.164 3.882
OtterBox 3.6705 0.352 10.413 0.000 2.980 4.361
Ouidad 3.4408 0.610 5.644 0.000 2.246 4.636
Outward Hound 3.4008 0.434 7.843 0.000 2.551 4.251
Oxford Golf 2.8824 0.610 4.722 0.000 1.686 4.079
PANDORA 3.8957 0.059 66.362 0.000 3.781 4.011
PASS PORT -2.314e-14 1.01e-14 -2.287 0.022 -4.3e-14 -3.31e-15
PBS 4.2636 0.609 7.001 0.000 3.070 5.457
PEZ 1.4496 0.609 2.381 0.017 0.256 2.643
PING 2.2884 0.654 3.499 0.000 1.007 3.570
PINK 3.1539 0.035 90.300 0.000 3.085 3.222
PJ Salvage 3.0870 0.608 5.074 0.000 1.895 4.279
PNY 2.4552 0.436 5.630 0.000 1.600 3.310
POND'S 3.1039 0.608 5.102 0.000 1.911 4.296
PONY -1.187e-14 1.22e-14 -0.973 0.331 -3.58e-14 1.21e-14
PROPPER 1.3280 0.610 2.175 0.030 0.131 2.525
PRPS 3.2575 0.636 5.125 0.000 2.012 4.503
PUMA 3.1477 0.062 50.810 0.000 3.026 3.269
Pacific Sunwear 2.8758 0.095 30.286 0.000 2.690 3.062
Paige Denim 3.4513 0.251 13.739 0.000 2.959 3.944
Pampered Chef 3.1673 0.133 23.799 0.000 2.906 3.428
Pampers 2.9481 0.209 14.106 0.000 2.538 3.358
Pampers Baby Dry 3.0534 0.328 9.318 0.000 2.411 3.696
Pampers Easy Ups 2.4437 0.620 3.944 0.000 1.229 3.658
Pampers Swaddlers 2.5205 0.248 10.181 0.000 2.035 3.006
Panache 2.9330 0.608 4.821 0.000 1.741 4.125
Panasonic 2.7675 0.449 6.162 0.000 1.887 3.648
Pantene 3.4572 0.432 7.997 0.000 2.610 4.305
Papaya 2.5677 0.156 16.490 0.000 2.263 2.873
Paper Mate 2.8440 0.211 13.479 0.000 2.430 3.258
Papillon 3.5929 0.608 5.905 0.000 2.400 4.785
Paradise Collection 4.4193 0.439 10.075 0.000 3.560 5.279
Paris Blues 2.0082 0.433 4.640 0.000 1.160 2.856
Park Designs 3.3990 0.619 5.494 0.000 2.186 4.611
Park Lane 7.829e-16 9.45e-15 0.083 0.934 -1.77e-14 1.93e-14
PartyLite 2.7663 0.202 13.710 0.000 2.371 3.162
Passport 2.424e-14 1.16e-14 2.098 0.036 1.6e-15 4.69e-14
Patagonia, Inc. 3.1834 0.306 10.409 0.000 2.584 3.783
Patricia Nash 3.3595 0.432 7.778 0.000 2.513 4.206
Paul Frank 2.3054 0.608 3.789 0.000 1.113 3.498
Peaches 2.9364 0.609 4.823 0.000 1.743 4.130
Peanuts 2.4235 0.431 5.621 0.000 1.578 3.269
Pearhead 3.8255 0.609 6.283 0.000 2.632 5.019
Pearl Izumi 2.4006 0.610 3.938 0.000 1.206 3.595
Peck & Peck 3.2844 0.354 9.271 0.000 2.590 3.979
Pediasure 1.651e-14 1.11e-14 1.481 0.139 -5.34e-15 3.84e-14
Pedigree 2.4106 0.612 3.940 0.000 1.211 3.610
Pendleton 3.0574 0.307 9.958 0.000 2.456 3.659
Peppa Pig 2.5767 0.609 4.232 0.000 1.383 3.770
Perler -1.031e-14 1.08e-14 -0.951 0.342 -3.16e-14 1.09e-14
Perry Ellis 2.9621 0.355 8.353 0.000 2.267 3.657
PetSafe 3.7704 0.434 8.695 0.000 2.920 4.620
PetSmart 2.9432 0.147 20.039 0.000 2.655 3.231
Peter Millar 3.7124 0.611 6.081 0.000 2.516 4.909
Petit Tresor 2.8424 0.628 4.528 0.000 1.612 4.073
Petmate 3.9684 0.434 9.151 0.000 3.118 4.818
Pets First 3.6923 0.433 8.531 0.000 2.844 4.541
Pfaltzgraff 2.6809 0.431 6.217 0.000 1.836 3.526
Phat Farm/Baby Phat 2.145e-14 1.11e-14 1.928 0.054 -3.61e-16 4.33e-14
Philips 3.7096 0.198 18.746 0.000 3.322 4.097
Phillips 2.7881 0.311 8.978 0.000 2.179 3.397
Philosophy 3.3072 0.306 10.822 0.000 2.708 3.906
Physicians Formula 2.5532 0.113 22.612 0.000 2.332 2.774
Physicians Prefer 3.8621 0.613 6.299 0.000 2.660 5.064
Piedmont 2.056e-14 1.13e-14 1.815 0.069 -1.64e-15 4.28e-14
Pier One 2.8801 0.206 13.980 0.000 2.476 3.284
Pierre Dumas 3.051e-15 1.21e-14 0.253 0.800 -2.06e-14 2.67e-14
Pillow Pets 2.7894 0.307 9.080 0.000 2.187 3.392
Pilot 2.5360 0.438 5.793 0.000 1.678 3.394
Pineapple Connection 3.4772 0.609 5.714 0.000 2.285 4.670
Pink Lotus 2.948e-14 1.17e-14 2.518 0.012 6.53e-15 5.24e-14
Pinkblush 2.9018 0.309 9.378 0.000 2.295 3.508
Pioneer 4.1828 0.578 7.238 0.000 3.050 5.315
Piperlime 1.24e-14 1.05e-14 1.181 0.238 -8.18e-15 3.3e-14
Planet Motherhood 2.6788 0.614 4.362 0.000 1.475 3.882
Plantronics 3.5937 0.434 8.279 0.000 2.743 4.444
Play Along 2.4244 0.609 3.980 0.000 1.231 3.618
Play-Doh 2.9748 0.276 10.798 0.000 2.435 3.515
PlayStation 2.0496 0.353 5.805 0.000 1.358 2.742
Playhut 3.6667 0.611 6.002 0.000 2.469 4.864
Playmates 3.3568 0.353 9.502 0.000 2.664 4.049
Playmobil 3.2494 0.234 13.878 0.000 2.790 3.708
Playskool 2.6895 0.276 9.732 0.000 2.148 3.231
Playtex 2.8370 0.162 17.501 0.000 2.519 3.155
Pleasure Party 8.701e-15 9.83e-15 0.885 0.376 -1.06e-14 2.8e-14
Pleione 2.4124 0.608 3.965 0.000 1.220 3.605
Plugg 2.4600 0.614 4.007 0.000 1.257 3.663
Plus White -1.458e-14 1.37e-14 -1.068 0.286 -4.13e-14 1.22e-14
PoGo! Products 4.4536 0.435 10.239 0.000 3.601 5.306
Poetry 2.0652 0.608 3.395 0.001 0.873 3.258
Poise 3.5170 0.433 8.128 0.000 2.669 4.365
Pokemon 3.0039 0.069 43.291 0.000 2.868 3.140
Pokemon USA 2.7982 0.241 11.596 0.000 2.325 3.271
Polar 6.523e-15 9.51e-15 0.686 0.493 -1.21e-14 2.52e-14
Polaroid 1.9679 0.614 3.206 0.001 0.765 3.171
Poligrip 3.1219 0.610 5.121 0.000 1.927 4.317
Polo Jeans Co. 3.2305 0.609 5.308 0.000 2.038 4.423
Polo Ralph Lauren 3.1122 0.050 62.178 0.000 3.014 3.210
Polycom 2.9305 0.611 4.797 0.000 1.733 4.128
Pop Beauty -1.709e-14 1.04e-14 -1.645 0.100 -3.75e-14 3.27e-15
PopSockets 2.5697 0.080 32.131 0.000 2.413 2.726
Popular 1.6950 0.612 2.768 0.006 0.495 2.895
Port & Company 2.7355 0.608 4.497 0.000 1.543 3.928
Positive Attitude 1.195e-14 9.1e-15 1.312 0.189 -5.9e-15 2.98e-14
Post-it 2.5767 0.361 7.139 0.000 1.869 3.284
Pottery Barn 3.1565 0.158 20.016 0.000 2.847 3.466
Pottery Barn Kids 2.8929 0.325 8.893 0.000 2.255 3.530
Power A 3.0030 0.612 4.905 0.000 1.803 4.203
Prada 4.0702 0.118 34.456 0.000 3.839 4.302
Precious Moments 3.0898 0.358 8.638 0.000 2.389 3.791
Premier Designs 3.4540 0.179 19.326 0.000 3.104 3.804
Prescriptives -4.072e-15 7.8e-15 -0.522 0.601 -1.94e-14 1.12e-14
Presto 3.2706 0.316 10.364 0.000 2.652 3.889
Pretty Angel 2.3408 0.609 3.845 0.000 1.148 3.534
Prevue Pet Products -8.02e-15 1.16e-14 -0.691 0.490 -3.08e-14 1.47e-14
Primark 2.2660 0.353 6.423 0.000 1.575 2.957
Primitive -3.977e-16 1.3e-14 -0.030 0.976 -2.6e-14 2.52e-14
Primula 2.7512 0.609 4.518 0.000 1.558 3.945
Prince LionHeart 3.0573 0.633 4.827 0.000 1.816 4.299
Pringle of Scotland 3.4413 0.612 5.626 0.000 2.242 4.640
Pro Keds 2.3456 0.353 6.647 0.000 1.654 3.037
Pro Player 3.847e-16 1.1e-14 0.035 0.972 -2.11e-14 2.19e-14
ProClub 3.8323 0.609 6.298 0.000 2.640 5.025
Proactiv 2.2426 0.432 5.195 0.000 1.397 3.089
Proctor Silex 2.7874 0.448 6.219 0.000 1.909 3.666
Proenza Schouler 6.0470 0.610 9.908 0.000 4.851 7.243
Profile by Gottex 2.4368 0.609 3.999 0.000 1.242 3.631
Pull&Bear 1.201e-15 6.7e-15 0.179 0.858 -1.19e-14 1.43e-14
Pur Minerals 3.0361 0.172 17.644 0.000 2.699 3.373
Pur-lisse 1.5523 0.608 2.551 0.011 0.360 2.745
Pure Boxing 2.58e-16 1.14e-14 0.023 0.982 -2.21e-14 2.26e-14
Purina 3.1879 0.434 7.352 0.000 2.338 4.038
Purina Beneful 2.5664 0.434 5.919 0.000 1.717 3.416
Pyrex 3.2226 0.103 31.437 0.000 3.022 3.424
QALO 3.1197 0.609 5.126 0.000 1.927 4.312
Quacker Factory 2.3643 0.609 3.884 0.000 1.171 3.557
Quay Australia 3.7245 0.189 19.750 0.000 3.355 4.094
Quiksilver 2.9821 0.277 10.748 0.000 2.438 3.526
Qupid 2.6598 0.274 9.713 0.000 2.123 3.197
R & M Richards 2.2454 0.609 3.687 0.000 1.052 3.439
RACHEL PALLY 3.7648 0.608 6.188 0.000 2.572 4.957
RCA 2.5438 0.611 4.163 0.000 1.346 3.741
REI 3.1701 0.233 13.584 0.000 2.713 3.627
RIM 3.3988 0.432 7.874 0.000 2.553 4.245
ROMWE 2.5298 0.431 5.865 0.000 1.684 3.375
RVCA 3.0560 0.207 14.781 0.000 2.651 3.461
Rachael Ray 3.0836 0.254 12.122 0.000 2.585 3.582
Rachel Roy 3.3614 0.431 7.802 0.000 2.517 4.206
Rachel Zoe 3.2833 0.609 5.396 0.000 2.091 4.476
Radio Flyer 2.7757 0.747 3.715 0.000 1.311 4.240
Rae Dunn 3.4612 0.044 78.824 0.000 3.375 3.547
Rafaella 2.6178 0.610 4.292 0.000 1.422 3.813
Rails 4.478e-15 1.06e-14 0.424 0.672 -1.62e-14 2.52e-14
Rainbow Shops 3.1899 0.306 10.429 0.000 2.590 3.789
Ralph Lauren 2.9907 0.050 59.422 0.000 2.892 3.089
Ralph Lauren Collection 2.5947 0.610 4.251 0.000 1.398 3.791
Rampage 2.6988 0.306 8.826 0.000 2.100 3.298
Rave 2.8710 0.186 15.411 0.000 2.506 3.236
Ravensburger 2.7613 0.443 6.236 0.000 1.893 3.629
Rawlings 3.9283 0.218 18.042 0.000 3.502 4.355
Ray-Ban 3.9753 0.069 57.981 0.000 3.841 4.110
Razer 3.6346 0.252 14.412 0.000 3.140 4.129
Razor 2.1271 0.628 3.386 0.001 0.896 3.359
Real Techniques 3.9438 0.432 9.139 0.000 3.098 4.790
Realtree 2.5550 0.307 8.329 0.000 1.954 3.156
Rebecca Minkoff 3.6765 0.148 24.838 0.000 3.386 3.967
Rebecca Taylor 3.7248 0.608 6.123 0.000 2.532 4.917
Rebel Spirit 3.1882 0.608 5.240 0.000 1.996 4.381
Rebel Yell 3.0838 0.608 5.070 0.000 1.892 4.276
Red Camel 2.4110 0.608 3.963 0.000 1.219 3.603
Red Cherry 2.5744 0.218 11.821 0.000 2.148 3.001
Red Rivet Jeans 2.3316 0.609 3.831 0.000 1.139 3.524
Redken 3.2833 0.611 5.370 0.000 2.085 4.482
Reebok 2.8373 0.062 45.491 0.000 2.715 2.960
Reef 2.6180 0.206 12.693 0.000 2.214 3.022
Reference Point 2.5299 0.614 4.123 0.000 1.327 3.733
Reformation 3.9470 0.608 6.487 0.000 2.754 5.140
Refuge 2.4979 0.250 9.975 0.000 2.007 2.989
Reign 3.0650 0.431 7.108 0.000 2.220 3.910
Relativity 2.5072 0.609 4.118 0.000 1.314 3.700
Relic 3.0020 0.609 4.931 0.000 1.809 4.195
Remington 3.1746 0.433 7.336 0.000 2.326 4.023
Rene Rofe 3.737e-15 1.22e-14 0.307 0.759 -2.01e-14 2.76e-14
Resistol 3.1107 0.609 5.108 0.000 1.917 4.304
Retrofit 3.0481 0.633 4.815 0.000 1.807 4.289
Revere -7.636e-15 1.02e-14 -0.747 0.455 -2.77e-14 1.24e-14
Revlon 2.6212 0.085 30.923 0.000 2.455 2.787
Rewind 2.4892 0.218 11.437 0.000 2.063 2.916
Rhapsody 1.6733 0.613 2.729 0.006 0.472 2.875
Rhonda Shear 2.5410 0.609 4.175 0.000 1.348 3.734
Riddell 2.9445 0.257 11.471 0.000 2.441 3.448
Riders 2.3483 0.435 5.403 0.000 1.496 3.200
Riders by Lee 1.8514 0.608 3.043 0.002 0.659 3.044
Right Guard 2.9286 0.610 4.804 0.000 1.734 4.123
Rihanna 4.2669 0.353 12.088 0.000 3.575 4.959
Rimmel 2.6041 0.250 10.400 0.000 2.113 3.095
Ring 3.3434 0.357 9.372 0.000 2.644 4.043
Ring of Fire -2.503e-15 9.18e-15 -0.273 0.785 -2.05e-14 1.55e-14
Rio Grande Games 2.8075 0.609 4.608 0.000 1.613 4.002
Rip Curl 3.1092 0.431 7.211 0.000 2.264 3.954
Ripcurl 2.7145 0.431 6.295 0.000 1.869 3.560
Ripple Junction 3.0168 0.306 9.854 0.000 2.417 3.617
Rival 1.8209 0.438 4.159 0.000 0.963 2.679
River Island 3.1802 0.616 5.161 0.000 1.972 4.388
Roaman's 2.0916 0.609 3.436 0.001 0.898 3.285
Robbie Bee 2.311e-15 1.2e-14 0.193 0.847 -2.11e-14 2.58e-14
Robeez 2.7242 0.307 8.881 0.000 2.123 3.325
Robert Talbott 3.4740 0.621 5.597 0.000 2.257 4.691
Roberto Cavalli 4.1347 0.608 6.796 0.000 2.942 5.327
Robin's Jeans 3.8015 0.356 10.691 0.000 3.105 4.498
Rocawear 2.6478 0.233 11.347 0.000 2.190 3.105
Rock & Republic 2.9220 0.156 18.762 0.000 2.617 3.227
Rock & Roll Cowgirl -1.604e-14 1.1e-14 -1.455 0.146 -3.76e-14 5.56e-15
Rock Revival 3.9522 0.064 62.032 0.000 3.827 4.077
Rocket Dog 1.523e-14 1.1e-14 1.389 0.165 -6.26e-15 3.67e-14
Rodan and Fields 4.9955 0.615 8.128 0.000 3.791 6.200
Roku 2.7869 0.179 15.585 0.000 2.436 3.137
Rolex 4.3350 0.209 20.713 0.000 3.925 4.745
Roller Derby 2.4226 0.628 3.856 0.000 1.191 3.654
Rollerblade 2.8116 0.459 6.131 0.000 1.913 3.710
Romeo & Juliet Couture 2.3194 0.612 3.790 0.000 1.120 3.519
Ron Jon 2.7841 0.609 4.575 0.000 1.591 3.977
Ronni Nicole 2.7430 0.638 4.296 0.000 1.492 3.994
Roper 3.7916 0.608 6.232 0.000 2.599 4.984
Rosetti 2.0325 0.609 3.340 0.001 0.840 3.225
Rosewill 1.037e-14 1.24e-14 0.835 0.404 -1.4e-14 3.47e-14
Rothschild 3.3435 0.436 7.666 0.000 2.489 4.198
Route 2.2105 0.354 6.236 0.000 1.516 2.905
Route 66 2.0431 0.608 3.358 0.001 0.851 3.236
Roxy 2.7496 0.096 28.703 0.000 2.562 2.937
Royal 3.8112 0.619 6.157 0.000 2.598 5.025
Royal Robbins 3.2476 0.609 5.333 0.000 2.054 4.441
Ruby Rd. 2.7696 0.612 4.529 0.000 1.571 3.968
Ruby Rox 2.5316 0.431 5.873 0.000 1.687 3.376
Rue21 2.4795 0.072 34.593 0.000 2.339 2.620
Rusk 3.1090 0.611 5.085 0.000 1.911 4.307
Russ 6.366e-15 1.37e-14 0.464 0.643 -2.05e-14 3.33e-14
Russell Athletic 2.6637 0.172 15.482 0.000 2.327 3.001
Rusty 2.2679 0.624 3.637 0.000 1.046 3.490
Ryka 2.5480 0.431 5.911 0.000 1.703 3.393
SEPHORA COLLECTION 2.6579 0.307 8.661 0.000 2.056 3.259
SKECHERS 2.6557 0.086 30.943 0.000 2.487 2.824
SKLZ 3.4441 0.679 5.072 0.000 2.113 4.775
SO 2.2948 0.151 15.177 0.000 1.998 2.591
SPANX 3.1770 0.144 22.115 0.000 2.895 3.459
SPY 2.7000 0.634 4.261 0.000 1.458 3.942
SUGOI 3.0684 0.610 5.033 0.000 1.874 4.263
Sabo Skirt 1.606e-14 1.32e-14 1.212 0.226 -9.91e-15 4.2e-14
Safety st 2.1442 0.315 6.811 0.000 1.527 2.761
Sag Harbor 2.9572 0.684 4.321 0.000 1.616 4.299
Saga 2.967e-15 1.3e-14 0.229 0.819 -2.24e-14 2.83e-14
Saint Laurent 4.8755 0.172 28.298 0.000 4.538 5.213
Saks Fifth Avenue 2.8946 0.306 9.464 0.000 2.295 3.494
Sally Hansen 2.8012 0.122 22.978 0.000 2.562 3.040
Salomon 2.9469 0.432 6.818 0.000 2.100 3.794
Salt Lake Clothing 2.4441 0.431 5.670 0.000 1.599 3.289
Salvage 3.6286 0.608 5.964 0.000 2.436 4.821
Salvatore Ferragamo 3.7649 0.153 24.607 0.000 3.465 4.065
Sam & Libby 3.3088 0.609 5.433 0.000 2.115 4.502
Sam Edelman 3.4157 0.156 21.920 0.000 3.110 3.721
Samsonite 3.1348 0.611 5.130 0.000 1.937 4.332
Samsung 3.2136 0.050 64.314 0.000 3.116 3.312
Samsung Galaxy 3.6079 0.609 5.926 0.000 2.415 4.801
San Lorenzo 3.3228 0.233 14.284 0.000 2.867 3.779
SanDisk 2.4690 0.225 10.983 0.000 2.028 2.910
Sanctuary 3.0565 0.610 5.011 0.000 1.861 4.252
Sandra Darren -1.819e-15 1.23e-14 -0.148 0.882 -2.58e-14 2.22e-14
Sandra Ingrish 3.0727 0.608 5.051 0.000 1.880 4.265
Sanrio 4.361e-15 1.2e-14 0.364 0.716 -1.91e-14 2.78e-14
Sante 2.3926 0.608 3.933 0.000 1.200 3.585
Sanuk 2.9320 0.162 18.091 0.000 2.614 3.250
Sassy 2.7977 0.611 4.579 0.000 1.600 3.995
Saucony 2.6954 0.196 13.772 0.000 2.312 3.079
Sbicca 1.79e-14 1.12e-14 1.597 0.110 -4.07e-15 3.99e-14
Scala -4.729e-15 1.29e-14 -0.365 0.715 -3.01e-14 2.07e-14
Scentsy 3.0885 0.074 41.858 0.000 2.944 3.233
Schick 3.0271 0.176 17.243 0.000 2.683 3.371
Schleich 2.7385 0.432 6.344 0.000 1.892 3.585
Scholastic -6.177e-15 9.05e-15 -0.682 0.495 -2.39e-14 1.16e-14
Scholastic Children 3.5097 0.611 5.741 0.000 2.311 4.708
Schutt 3.9184 0.622 6.297 0.000 2.699 5.138
Schwinn 2.7777 0.628 4.421 0.000 1.546 4.009
Scope Brand Shop 4.7854 0.610 7.850 0.000 3.591 5.980
Scosche 2.6521 0.611 4.342 0.000 1.455 3.849
Scotch & Soda 2.8464 0.610 4.662 0.000 1.650 4.043
Scott Paper 3.0026 0.333 9.010 0.000 2.349 3.656
Seagate 4.1676 0.619 6.737 0.000 2.955 5.380
Sean John 2.9751 0.356 8.368 0.000 2.278 3.672
Sears 2.5491 0.433 5.893 0.000 1.701 3.397
Sebago 2.426e-15 1.18e-14 0.205 0.837 -2.07e-14 2.56e-14
Secret 2.9647 0.433 6.851 0.000 2.117 3.813
Sega 3.1420 0.353 8.909 0.000 2.451 3.833
Seiko 2.048e-14 9.54e-15 2.147 0.032 1.78e-15 3.92e-14
Select 5.0100 0.617 8.117 0.000 3.800 6.220
Self Esteem 1.7998 0.431 4.177 0.000 0.955 2.644
SeneGence 3.7789 0.052 73.241 0.000 3.678 3.880
Sennheiser 3.0238 0.610 4.960 0.000 1.829 4.219
Sentry 2.7501 0.610 4.507 0.000 1.554 3.946
Sephora 3.1034 0.040 78.218 0.000 3.026 3.181
Sequin Hearts 6.534e-15 8.37e-15 0.781 0.435 -9.86e-15 2.29e-14
Sere Nade 2.7882 0.608 4.583 0.000 1.596 3.981
Serenity 2.4428 0.642 3.808 0.000 1.185 3.700
Seresto 4.0771 0.610 6.681 0.000 2.881 5.273
Sesame Street 2.7924 0.144 19.434 0.000 2.511 3.074
Seven7 3.1912 0.431 7.400 0.000 2.346 4.036
Seychelles 3.0553 0.609 5.021 0.000 1.863 4.248
Shabby Chic 2.9789 0.276 10.804 0.000 2.438 3.519
Sharagano 2.7077 0.608 4.450 0.000 1.515 3.900
Sharper Image 2.4554 0.436 5.636 0.000 1.602 3.309
Sharpie 2.7288 0.356 7.655 0.000 2.030 3.427
Shea Moisture 2.9794 0.461 6.465 0.000 2.076 3.883
Sheer Cover 2.0959 0.431 4.863 0.000 1.251 2.941
Shenanigans 2.7991 0.609 4.597 0.000 1.606 3.992
Sherpa 2.489e-14 1.35e-14 1.846 0.065 -1.54e-15 5.13e-14
Sherri Hill 4.3190 0.177 24.407 0.000 3.972 4.666
Shimano Fishing 3.8773 0.619 6.268 0.000 2.665 5.090
Shiseido 3.3349 0.178 18.712 0.000 2.986 3.684
Shock Doctor 2.4378 0.609 4.002 0.000 1.244 3.632
Shoe Dazzle 2.6876 0.353 7.622 0.000 1.996 3.379
Show Me Your MuMu 3.8543 0.431 8.938 0.000 3.009 4.700
Signature 2.8868 0.609 4.738 0.000 1.693 4.081
Silence + Noise 2.9768 0.431 6.910 0.000 2.132 3.821
Silhouettes 2.8449 0.609 4.668 0.000 1.650 4.039
Silly Bandz 2.4659 0.609 4.049 0.000 1.272 3.659
Silpada 3.4624 0.217 15.921 0.000 3.036 3.889
Silver 3.3029 0.612 5.401 0.000 2.104 4.501
Silver Jeans 2.8129 0.434 6.480 0.000 1.962 3.664
Silver Jeans Co. 3.1181 0.102 30.603 0.000 2.918 3.318
Silverlit -4.104e-15 1.04e-14 -0.395 0.693 -2.45e-14 1.62e-14
Similac 2.9230 0.144 20.241 0.000 2.640 3.206
Simply Southern 3.1028 0.101 30.765 0.000 2.905 3.300
Simply Vera Vera Wang 2.6004 0.179 14.550 0.000 2.250 2.951
Sinful -5.823e-15 8.34e-15 -0.698 0.485 -2.22e-14 1.05e-14
Sinful By Affliction 2.8126 0.179 15.741 0.000 2.462 3.163
Singing Machine -1.889e-14 9.29e-15 -2.033 0.042 -3.71e-14 -6.81e-16
Sirius Satellite Radio 2.9098 0.465 6.252 0.000 1.998 3.822
Skagen 2.9761 0.609 4.884 0.000 1.782 4.170
Sketchers 2.6300 0.306 8.598 0.000 2.031 3.230
Skin Industries 2.4453 0.609 4.018 0.000 1.252 3.638
Skip Hop 2.6416 0.174 15.141 0.000 2.300 2.984
Skullcandy 4.2243 0.438 9.640 0.000 3.365 5.083
Sky 2.7326 0.609 4.489 0.000 1.539 3.926
Slatkin & Co. 2.0083 0.610 3.294 0.001 0.813 3.203
Sleek MakeUP 2.5898 0.352 7.348 0.000 1.899 3.281
Slime® 2.8617 0.609 4.699 0.000 1.668 4.055
SmartWool 3.1634 0.309 10.225 0.000 2.557 3.770
Smartzone -8.579e-16 1.03e-14 -0.083 0.934 -2.1e-14 1.93e-14
Smashbox 3.0490 0.073 41.491 0.000 2.905 3.193
Snap 3.5537 0.608 5.841 0.000 2.361 4.746
Snap-on -1.072e-14 8.32e-15 -1.288 0.198 -2.7e-14 5.59e-15
Snuggie 2.5931 0.308 8.415 0.000 1.989 3.197
Sock It to Me -7.318e-15 1.01e-14 -0.724 0.469 -2.71e-14 1.25e-14
Soda 2.9349 0.353 8.324 0.000 2.244 3.626
Soffe 2.5206 0.218 11.574 0.000 2.094 2.948
Soft Surroundings 2.4926 0.431 5.781 0.000 1.648 3.338
Softcup -5.17e-15 1.16e-14 -0.447 0.655 -2.78e-14 1.75e-14
Sole Society 2.7188 0.609 4.468 0.000 1.526 3.912
Solo 3.4031 0.611 5.569 0.000 2.206 4.601
Soma 3.3089 0.352 9.391 0.000 2.618 3.999
Sonia Kashuk 3.8481 0.609 6.315 0.000 2.654 5.042
Sonoma 2.4154 0.149 16.172 0.000 2.123 2.708
Sony 3.1413 0.048 65.931 0.000 3.048 3.235
Sony Pictures 2.6194 0.353 7.430 0.000 1.928 3.310
Soprano 2.5086 0.608 4.123 0.000 1.316 3.701
South Pole -1.586e-14 1.12e-14 -1.411 0.158 -3.79e-14 6.18e-15
Southern Living 3.1838 0.431 7.383 0.000 2.339 4.029
Southern Marsh 3.2659 0.233 14.003 0.000 2.809 3.723
Southpole 2.7772 0.206 13.472 0.000 2.373 3.181
Spalding 3.5014 0.300 11.663 0.000 2.913 4.090
Speck 3.2250 0.608 5.301 0.000 2.033 4.417
Spectra -1.18e-14 1.16e-14 -1.019 0.308 -3.45e-14 1.09e-14
Speechless 2.7627 0.250 11.035 0.000 2.272 3.253
Speedo 2.6828 0.198 13.549 0.000 2.295 3.071
Spell & The Gypsy Collective 4.9866 0.306 16.313 0.000 4.387 5.586
Spencer's 4.7443 0.614 7.730 0.000 3.541 5.947
Spense 2.1062 0.432 4.873 0.000 1.259 2.953
Spenser Jeremy 1.8074 0.608 2.971 0.003 0.615 3.000
Sperry 3.1629 0.121 26.149 0.000 2.926 3.400
Sperry Top-Sider 3.0114 0.230 13.097 0.000 2.561 3.462
Sperrys 3.1964 0.129 24.700 0.000 2.943 3.450
Spider-Man 2.8440 0.612 4.645 0.000 1.644 4.044
Spiegel 2.8369 0.609 4.661 0.000 1.644 4.030
Spigen -7.933e-15 1.07e-14 -0.741 0.459 -2.89e-14 1.31e-14
Spin Master 3.9919 0.133 30.077 0.000 3.732 4.252
Spitfire 1.119e-14 1e-14 1.114 0.265 -8.5e-15 3.09e-14
Splendid 2.7501 0.431 6.378 0.000 1.905 3.595
Sport Savvy 2.1965 0.608 3.611 0.000 1.004 3.389
Spy Tec 3.2173 0.612 5.255 0.000 2.017 4.417
Spyder 3.3896 0.194 17.451 0.000 3.009 3.770
St. Ives 2.9719 0.433 6.868 0.000 2.124 3.820
St. John 3.2277 0.612 5.277 0.000 2.029 4.427
St. John's Bay 2.3408 0.239 9.797 0.000 1.872 2.809
Stafford 2.9392 0.618 4.757 0.000 1.728 4.150
Stamped 3.7997 0.075 50.357 0.000 3.652 3.948
Stance 3.3171 0.240 13.802 0.000 2.846 3.788
Stanley 3.0408 0.609 4.994 0.000 1.847 4.234
Star City 2.2028 0.612 3.602 0.000 1.004 3.401
Star Wars 2.9631 0.086 34.390 0.000 2.794 3.132
Starbucks 2.8911 0.090 32.032 0.000 2.714 3.068
Staring at Stars 2.7472 0.608 4.516 0.000 1.555 3.940
Starmark 2.0570 0.610 3.371 0.001 0.861 3.253
Starter 2.8304 0.199 14.232 0.000 2.441 3.220
Stats 3.0963 0.622 4.977 0.000 1.877 4.316
Stayfree -9.107e-15 1.04e-14 -0.876 0.381 -2.95e-14 1.13e-14
Stella & Dot 3.5733 0.147 24.267 0.000 3.285 3.862
Stella McCartney 4.2193 0.608 6.934 0.000 3.027 5.412
Sterling Industries 2.9353 0.631 4.652 0.000 1.698 4.172
Stetson 3.3826 0.609 5.554 0.000 2.189 4.576
Steve & Barry's 2.2433 0.431 5.204 0.000 1.398 3.088
Steve Madden 2.9600 0.061 48.815 0.000 2.841 3.079
Steven by Steve Madden 4.7516 0.608 7.809 0.000 3.559 5.944
Stila 3.2537 0.083 39.256 0.000 3.091 3.416
Stitches 2.1569 0.609 3.540 0.000 0.963 3.351
Stokke 2.4880 0.645 3.859 0.000 1.224 3.752
Stone Fox Swim 4.6196 0.431 10.713 0.000 3.774 5.465
Stoosh 2.7098 0.608 4.454 0.000 1.517 3.902
Stranded 2.3545 0.431 5.461 0.000 1.509 3.200
Stride Rite 2.7437 0.115 23.849 0.000 2.518 2.969
Stuart Weitzman 4.5873 0.206 22.301 0.000 4.184 4.991
Studio Ease 2.4567 0.613 4.010 0.000 1.256 3.657
Studio I 2.3765 0.608 3.906 0.000 1.184 3.569
Studio Works -6.163e-16 1.14e-14 -0.054 0.957 -2.3e-14 2.17e-14
Studio Y 2.1824 0.610 3.577 0.000 0.987 3.378
Stussy 3.0709 0.156 19.696 0.000 2.765 3.377
Style & Co 2.6870 0.307 8.751 0.000 2.085 3.289
Style&co. 2.8421 0.205 13.831 0.000 2.439 3.245
Stüssy 2.8778 0.274 10.511 0.000 2.341 3.414
Suave 2.9272 0.277 10.575 0.000 2.385 3.470
Sugarpill 3.5489 0.306 11.610 0.000 2.950 4.148
Suit Studio 2.2444 0.608 3.689 0.000 1.052 3.437
Summer Infant 2.6548 0.237 11.218 0.000 2.191 3.119
Summer's Eve 2.6910 0.610 4.414 0.000 1.496 3.886
Sunbeam -5.093e-15 9.6e-15 -0.531 0.596 -2.39e-14 1.37e-14
Sundance 2.0325 0.609 3.340 0.001 0.840 3.225
Sunny Leigh 2.6766 0.608 4.399 0.000 1.484 3.869
Superdry 3.4149 0.437 7.815 0.000 2.558 4.271
Supra 3.0751 0.609 5.048 0.000 1.881 4.269
Supreme 3.7834 0.077 49.267 0.000 3.633 3.934
Susan Bristol 1.179e-15 9.75e-15 0.121 0.904 -1.79e-14 2.03e-14
Susan Graver 2.8603 0.353 8.110 0.000 2.169 3.552
Sutton Studio -3.158e-15 8.43e-15 -0.375 0.708 -1.97e-14 1.34e-14
Swarovski 3.5472 0.166 21.326 0.000 3.221 3.873
Sweet Pea 2.8456 0.609 4.672 0.000 1.652 4.039
Swell 2.7464 0.609 4.511 0.000 1.553 3.940
Swiffer 2.0638 0.744 2.772 0.006 0.605 3.523
Swiss Legend 2.6156 0.610 4.288 0.000 1.420 3.811
Sylvania 2.8720 0.631 4.549 0.000 1.635 4.109
T by Alexander Wang -9.51e-16 1.02e-14 -0.093 0.926 -2.1e-14 1.91e-14
T-fal 2.8261 0.618 4.571 0.000 1.614 4.038
T.J.Maxx 8.523e-15 1.03e-14 0.825 0.410 -1.17e-14 2.88e-14
TENA 1.31e-15 9.53e-15 0.137 0.891 -1.74e-14 2e-14
TOMS 3.0494 0.080 38.260 0.000 2.893 3.206
TOMY 1.221e-15 1.04e-14 0.118 0.906 -1.91e-14 2.15e-14
TRESemme 3.8425 0.610 6.303 0.000 2.648 5.037
TYR 2.5924 0.609 4.254 0.000 1.398 3.787
Taboo 2.4638 0.431 5.718 0.000 1.619 3.308
Tadashi Shoji 4.4742 0.609 7.346 0.000 3.281 5.668
Tag 2.8516 0.608 4.686 0.000 1.659 4.044
Tag Heuer 4.6697 0.610 7.656 0.000 3.474 5.865
Tahari 2.8565 0.316 9.045 0.000 2.238 3.475
Tail 2.7817 0.432 6.446 0.000 1.936 3.628
Takeout -1.507e-14 1.24e-14 -1.211 0.226 -3.95e-14 9.33e-15
Talbots 2.9699 0.196 15.173 0.000 2.586 3.354
Tampax 3.0191 0.308 9.792 0.000 2.415 3.623
Tangerine 2.3387 0.431 5.428 0.000 1.494 3.183
Tangle Teezer 2.5562 0.609 4.194 0.000 1.362 3.751
TapouT -1.077e-14 1.03e-14 -1.046 0.296 -3.1e-14 9.42e-15
Target 2.6856 0.066 40.637 0.000 2.556 2.815
Targus 2.6354 0.309 8.531 0.000 2.030 3.241
Tarte 3.2436 0.047 69.037 0.000 3.152 3.336
Tassimo 3.0758 0.432 7.125 0.000 2.230 3.922
Tatcha 3.2375 0.608 5.321 0.000 2.045 4.430
Taylor 2.7149 0.434 6.262 0.000 1.865 3.565
TaylorMade 3.6022 0.362 9.941 0.000 2.892 4.312
Ted Baker 4.3956 0.609 7.223 0.000 3.203 5.588
Ted Baker London 4.2056 0.206 20.411 0.000 3.802 4.609
TeeFury 2.5224 0.431 5.852 0.000 1.678 3.367
Teenage Mutant Ninja Turtles 2.5103 0.354 7.087 0.000 1.816 3.204
Tek Gear 2.5008 0.251 9.950 0.000 2.008 2.993
Tek Nek -8.054e-15 1.16e-14 -0.693 0.488 -3.08e-14 1.47e-14
Teleflora -3.597e-15 9.36e-15 -0.384 0.701 -2.19e-14 1.47e-14
Tennessee River 8.654e-15 8.13e-15 1.064 0.287 -7.29e-15 2.46e-14
Terani Couture -5.501e-15 9.82e-15 -0.560 0.575 -2.48e-14 1.37e-14
Tetra 2.1593 0.612 3.529 0.000 0.960 3.359
Teva 2.6690 0.433 6.160 0.000 1.820 3.518
Texas Instruments 3.5487 0.356 9.977 0.000 2.852 4.246
The Body Shop 2.9433 0.217 13.559 0.000 2.518 3.369
The Children's Place 2.7291 0.084 32.678 0.000 2.565 2.893
The First Years 2.8371 0.361 7.864 0.000 2.130 3.544
The Hundreds 3.0093 0.206 14.621 0.000 2.606 3.413
The Instrument Store 3.5587 0.473 7.523 0.000 2.631 4.486
The Limited 2.6243 0.145 18.124 0.000 2.340 2.908
The Maya Group 3.8268 0.609 6.284 0.000 2.633 5.020
The Mountain 2.4850 0.608 4.084 0.000 1.292 3.678
The North Face 3.3214 0.048 69.827 0.000 3.228 3.415
The Northwest Company 2.5315 0.611 4.144 0.000 1.334 3.729
The Sak 2.7475 0.274 10.020 0.000 2.210 3.285
Theory -5.712e-15 1.09e-14 -0.522 0.602 -2.72e-14 1.57e-14
Thermos 3.7286 0.616 6.057 0.000 2.522 4.935
Thinkway 2.2592 0.609 3.711 0.000 1.066 3.453
Thomas & Friends 2.8346 0.130 21.867 0.000 2.581 3.089
Thor 1.9425 0.657 2.958 0.003 0.655 3.230
Thrasher 3.1427 0.232 13.519 0.000 2.687 3.598
Thrasher Magazine 3.0529 0.166 18.358 0.000 2.727 3.379
Threadless 2.8896 0.608 4.751 0.000 1.697 4.082
Three Dots 1.8924 0.609 3.109 0.002 0.699 3.085
Tiana b 1.533e-14 1.26e-14 1.221 0.222 -9.28e-15 3.99e-14
Tianello 3.6554 0.608 6.007 0.000 2.463 4.848
Tick Twister 3.711e-15 8.88e-15 0.418 0.676 -1.37e-14 2.11e-14
Tide 2.6120 0.434 6.012 0.000 1.761 3.464
Tieks 4.4149 0.353 12.510 0.000 3.723 5.107
Tiffany & Co. 4.7654 0.075 63.755 0.000 4.619 4.912
Tiger 3.1490 0.357 8.831 0.000 2.450 3.848
Tignanello -4.8e-15 7.65e-15 -0.627 0.530 -1.98e-14 1.02e-14
Tile 2.5276 0.645 3.918 0.000 1.263 3.792
Tilly's 2.5465 0.274 9.292 0.000 2.009 3.084
Timberland 3.4084 0.088 38.598 0.000 3.235 3.581
Timing 3e-15 9.37e-15 0.320 0.749 -1.54e-14 2.14e-14
Tinker Bell 9.346e-15 9.07e-15 1.030 0.303 -8.43e-15 2.71e-14
Tinseltown 2.7394 0.435 6.302 0.000 1.887 3.591
Tiny Love 3.1792 0.439 7.247 0.000 2.319 4.039
Titleist 3.3349 0.309 10.795 0.000 2.729 3.940
Toastmaster 2.5718 0.359 7.162 0.000 1.868 3.276
Tobi 2.9863 0.110 27.211 0.000 2.771 3.201
Tod's 4.9262 0.609 8.089 0.000 3.733 6.120
Tolly Tots 1.223e-14 1.09e-14 1.122 0.262 -9.14e-15 3.36e-14
Tom Ford 3.7574 0.218 17.272 0.000 3.331 4.184
Tommee Tippee 2.9617 0.154 19.255 0.000 2.660 3.263
Tommy Bahama 3.1283 0.232 13.457 0.000 2.673 3.584
Tommy Hilfiger 3.0135 0.060 50.641 0.000 2.897 3.130
Tonka 2.5871 0.438 5.912 0.000 1.729 3.445
Tony & Tina 2.2761 0.608 3.742 0.000 1.084 3.468
Tony Hawk 2.1509 0.434 4.961 0.000 1.301 3.001
Tony Lama 3.9423 0.436 9.037 0.000 3.087 4.797
Tony Moly 3.0789 0.608 5.060 0.000 1.886 4.271
Too Faced 3.2158 0.046 70.259 0.000 3.126 3.306
Tootsie 3.1873 0.621 5.131 0.000 1.970 4.405
Top Fin 1.313e-14 1.19e-14 1.104 0.270 -1.02e-14 3.64e-14
Top Paw 2.7273 0.276 9.893 0.000 2.187 3.268
TopShop 3.1032 0.118 26.319 0.000 2.872 3.334
Topman 2.6770 0.431 6.210 0.000 1.832 3.522
Topps 3.0051 0.130 23.163 0.000 2.751 3.259
Torrid 3.0386 0.057 53.446 0.000 2.927 3.150
Tory Burch 4.1707 0.053 78.732 0.000 4.067 4.274
Toshiba 3.5132 0.254 13.819 0.000 3.015 4.012
Toy Monster 1.8333 0.609 3.011 0.003 0.640 3.027
Toys R Us 2.7888 0.275 10.141 0.000 2.250 3.328
Tracy Evans 3.1725 0.612 5.187 0.000 1.974 4.371
Travis Mathew 3.4906 0.434 8.047 0.000 2.640 4.341
Treasure & Bond 3.0620 0.614 4.990 0.000 1.859 4.265
Triangl 3.8208 0.130 29.436 0.000 3.566 4.075
Trina Turk 3.3369 0.432 7.719 0.000 2.490 4.184
Triple Five Soul -5.852e-15 8.14e-15 -0.719 0.472 -2.18e-14 1.01e-14
Tripp NYC 3.1565 0.307 10.273 0.000 2.554 3.759
Trish McEvoy 2.6018 0.352 7.386 0.000 1.911 3.292
Trixxi -1.983e-14 1.53e-14 -1.300 0.194 -4.97e-14 1.01e-14
True Religion 3.3602 0.250 13.420 0.000 2.869 3.851
True Religion Brand Jeans 3.5128 0.066 53.428 0.000 3.384 3.642
Tulle 2.9668 0.637 4.655 0.000 1.718 4.216
Tultex 2.9444 0.353 8.346 0.000 2.253 3.636
Tumi 3.8668 0.275 14.066 0.000 3.328 4.406
Tupperware 3.0146 0.127 23.706 0.000 2.765 3.264
Turtle Beach 3.1689 0.432 7.334 0.000 2.322 4.016
Twenty One 2.7284 0.251 10.889 0.000 2.237 3.220
Twiggy 3.0497 0.609 5.009 0.000 1.856 4.243
Twilight Gypsy Collective 1.6779 0.609 2.757 0.006 0.485 2.871
Twisted Heart -2.047e-14 1.17e-14 -1.751 0.080 -4.34e-14 2.44e-15
Twisted X 1.348e-15 9.57e-15 0.141 0.888 -1.74e-14 2.01e-14
UFC 2.6438 0.413 6.396 0.000 1.834 3.454
UGG 2.7560 0.276 9.987 0.000 2.215 3.297
UGG Australia 3.6547 0.049 74.308 0.000 3.558 3.751
UNIF 3.5718 0.138 25.879 0.000 3.301 3.842
UNIONBAY 2.7852 0.254 10.964 0.000 2.287 3.283
UPPAbaby -1.57e-14 8.29e-15 -1.894 0.058 -3.2e-14 5.49e-16
US POLO ASSN 2.7268 0.161 16.945 0.000 2.411 3.042
Ubisoft 3.0813 0.609 5.063 0.000 1.888 4.274
Ulta 2.8176 0.070 40.496 0.000 2.681 2.954
Ulta Salon, Cosmetics & Fragrance, Inc. 2.7498 0.609 4.518 0.000 1.557 3.943
Ultimate Ears 4.8474 0.611 7.937 0.000 3.650 6.045
UltimateTV RCA 2.8549 0.310 9.199 0.000 2.247 3.463
Ultra Flirt 1.8991 0.608 3.122 0.002 0.707 3.091
Umbra 3.2105 0.438 7.331 0.000 2.352 4.069
Umbro 2.9457 0.618 4.767 0.000 1.735 4.157
Undefeated 2.9776 0.431 6.907 0.000 2.133 3.823
Under Armour 2.9121 0.043 68.229 0.000 2.828 2.996
Uniden 3.7908 0.611 6.207 0.000 2.594 4.988
Uniqlo 2.5990 0.251 10.372 0.000 2.108 3.090
Universal Baby 2.0415 0.611 3.343 0.001 0.845 3.238
Universal Studios 2.9423 0.251 11.740 0.000 2.451 3.434
Univsersal Studios 2.4365 0.610 3.991 0.000 1.240 3.633
Unknown 2.9365 0.033 89.294 0.000 2.872 3.001
Unlisted 1.392e-14 1.21e-14 1.154 0.249 -9.73e-15 3.76e-14
Urban Behavior 2.8468 0.433 6.579 0.000 1.999 3.695
Urban Decay 3.2093 0.045 70.588 0.000 3.120 3.298
Urban Outfitters 2.8931 0.062 46.726 0.000 2.772 3.014
Urban Pipeline 2.7654 0.278 9.947 0.000 2.220 3.310
VANS 2.8090 0.052 54.446 0.000 2.708 2.910
VIGOSS 3.0044 0.181 16.569 0.000 2.649 3.360
VTech 2.8729 0.153 18.830 0.000 2.574 3.172
Va Va Voom 9.486e-15 9.18e-15 1.033 0.302 -8.51e-15 2.75e-14
Valentino 4.3416 0.218 19.953 0.000 3.915 4.768
Valerie Stevens 2.8912 0.612 4.727 0.000 1.692 4.090
Van Heusen 2.7867 0.356 7.829 0.000 2.089 3.484
Vanilla Star 2.0582 0.609 3.382 0.001 0.865 3.251
Vanity 2.5603 0.147 17.402 0.000 2.272 2.849
Vaseline 2.3754 0.433 5.489 0.000 1.527 3.223
Velvet Torch 3.1863 0.608 5.237 0.000 1.994 4.379
Venezia 2.7417 0.353 7.774 0.000 2.050 3.433
Venus 2.6491 0.195 13.567 0.000 2.266 3.032
Vera Bradley 2.9451 0.052 57.085 0.000 2.844 3.046
Vera Wang 3.0895 0.250 12.340 0.000 2.599 3.580
Versace 3.4569 0.138 25.090 0.000 3.187 3.727
Versace Collection 4.2816 0.613 6.988 0.000 3.081 5.483
Vertigo 4.9740 0.609 8.171 0.000 3.781 6.167
Via Spiga 3.0537 0.353 8.662 0.000 2.363 3.745
Vibram 2.7806 0.431 6.447 0.000 1.935 3.626
Vichy 2.9106 0.353 8.253 0.000 2.219 3.602
Vicks 2.6189 0.482 5.429 0.000 1.673 3.564
Victor Costa 3.1389 0.609 5.155 0.000 1.945 4.332
Victoria Beckham 3.2331 0.431 7.504 0.000 2.389 4.078
Victoria's Secret 3.1074 0.035 89.005 0.000 3.039 3.176
Victorinox Swiss Army® -1.075e-14 9.84e-15 -1.093 0.275 -3e-14 8.53e-15
ViewSonic 3.6180 0.609 5.945 0.000 2.425 4.811
Viktor & Rolf 1.7713 0.609 2.909 0.004 0.578 2.965
Vince 3.4759 0.431 8.068 0.000 2.631 4.320
Vince Camuto 3.2270 0.116 27.751 0.000 2.999 3.455
Vincent Longo 2.7643 0.431 6.417 0.000 1.920 3.609
Vintage 3.1450 0.061 51.634 0.000 3.026 3.264
Violet & Claire 2.2954 0.431 5.325 0.000 1.451 3.140
Virgin Only 4.5623 0.234 19.488 0.000 4.103 5.021
Vitamin A 3.1368 0.608 5.155 0.000 1.944 4.329
Vitamix 3.6691 0.622 5.900 0.000 2.450 4.888
Vocal 2.8408 0.431 6.593 0.000 1.996 3.685
Volcom 2.8313 0.125 22.678 0.000 2.587 3.076
Von Dutch 2.2081 0.861 2.566 0.010 0.522 3.895
WILLOW 3.3297 0.435 7.657 0.000 2.477 4.182
WOW couture 6.59e-15 4.23e-15 1.557 0.119 -1.71e-15 1.49e-14
WWE 3.1991 0.103 30.925 0.000 2.996 3.402
Wacom 3.3516 0.435 7.711 0.000 2.500 4.203
Wagner Lighting 3.8046 0.617 6.163 0.000 2.595 5.015
Wahl 3.7433 0.609 6.142 0.000 2.549 4.938
Walls 1.9238 0.304 6.336 0.000 1.329 2.519
Waring -4.055e-16 5.38e-15 -0.075 0.940 -1.09e-14 1.01e-14
Warner Bros. 2.6739 0.611 4.376 0.000 1.476 3.872
Warner Brothers 1.9226 0.635 3.026 0.002 0.677 3.168
Warrior 4.3118 0.434 9.937 0.000 3.461 5.162
Waterford 2.8281 0.609 4.647 0.000 1.635 4.021
Waterpik 3.4729 0.355 9.791 0.000 2.778 4.168
Waverly 2.5732 0.614 4.188 0.000 1.369 3.777
We The Free 5.145e-15 1.33e-14 0.388 0.698 -2.09e-14 3.12e-14
Weatherproof 5.955e-15 9.18e-15 0.649 0.516 -1.2e-14 2.39e-14
Weaver Leather 2.2393 0.610 3.669 0.000 1.043 3.435
Weavers 1.8991 0.608 3.122 0.002 0.707 3.091
Weight Watchers -1.932e-15 1.13e-14 -0.170 0.865 -2.42e-14 2.03e-14
West Elm -1.683e-14 1.08e-14 -1.557 0.120 -3.8e-14 4.36e-15
Western Digital 3.8759 0.296 13.089 0.000 3.295 4.456
Wet Seal 2.5385 0.074 34.140 0.000 2.393 2.684
Wet n Wild 2.4783 0.071 34.991 0.000 2.340 2.617
Whisker City 2.3917 0.436 5.486 0.000 1.537 3.246
White House Black Market 2.9325 0.102 28.732 0.000 2.732 3.133
White Stag 2.4619 0.195 12.601 0.000 2.079 2.845
Wigwam 2.8535 0.611 4.667 0.000 1.655 4.052
Wild Diva 2.6080 0.353 7.394 0.000 1.917 3.299
Wildfox 3.8056 0.274 13.884 0.000 3.268 4.343
Wildfox Couture 3.6144 0.137 26.346 0.000 3.346 3.883
Wildkin -2.72e-15 7.68e-15 -0.354 0.723 -1.78e-14 1.23e-14
Willi Smith 2.3338 0.431 5.417 0.000 1.489 3.178
William Rast 2.7768 0.609 4.563 0.000 1.584 3.970
Williams Sonoma 2.6402 0.355 7.440 0.000 1.945 3.336
Willow Tree 3.1604 0.431 7.330 0.000 2.315 4.005
Wilson 3.0031 0.246 12.201 0.000 2.521 3.485
Wilsons Leather 3.1237 0.233 13.390 0.000 2.666 3.581
Wilton 2.5563 0.201 12.737 0.000 2.163 2.950
Windsor 2.9082 0.108 26.872 0.000 2.696 3.120
Wish 2.1747 0.608 3.574 0.000 0.982 3.367
Wit & Wisdom 5.235e-15 2.69e-15 1.943 0.052 -4.66e-17 1.05e-14
Wizards of the Coast 3.1244 0.149 20.921 0.000 2.832 3.417
Wolfgang Puck 2.9301 0.620 4.725 0.000 1.715 4.146
Wolverine 2.8631 0.612 4.678 0.000 1.663 4.063
Woman Within 1.438e-14 8.31e-15 1.731 0.084 -1.91e-15 3.07e-14
Woolrich 2.7545 0.386 7.134 0.000 1.998 3.511
Worthington 2.5446 0.208 12.215 0.000 2.136 2.953
WowWee 2.8219 0.355 7.954 0.000 2.127 3.517
Wrangler 2.8085 0.177 15.848 0.000 2.461 3.156
WubbaNub 3.4139 0.364 9.384 0.000 2.701 4.127
XEN-TAN 7.701e-16 2.17e-15 0.355 0.723 -3.48e-15 5.02e-15
XM 2.8885 0.611 4.729 0.000 1.691 4.086
XOXO 2.4181 0.205 11.770 0.000 2.015 2.821
XXI 2.4532 0.250 9.796 0.000 1.962 2.944
Xbox 3.0694 0.050 61.787 0.000 2.972 3.167
Xersion 2.3123 0.233 9.917 0.000 1.855 2.769
Xhilaration 2.5040 0.067 37.379 0.000 2.373 2.635
Xscape 3.0684 0.354 8.675 0.000 2.375 3.762
YMI 2.6294 0.167 15.770 0.000 2.303 2.956
YMI Jeans 3.0371 0.306 9.927 0.000 2.438 3.637
YSL Yves Saint Laurent 3.6942 0.354 10.440 0.000 3.001 4.388
Ya Los Angeles 4.758e-17 3.04e-16 0.157 0.876 -5.48e-16 6.43e-16
Yankee Candle 2.7334 0.112 24.398 0.000 2.514 2.953
Yeezy 4.2167 0.163 25.933 0.000 3.898 4.535
Yellow Box 2.0902 0.609 3.435 0.001 0.898 3.283
Yeti 3.3722 0.125 27.003 0.000 3.127 3.617
Yoana Baraschi 3.3959 0.608 5.581 0.000 2.203 4.588
Yoki 2.1704 0.609 3.565 0.000 0.977 3.364
Yosi Samra 3.8508 0.432 8.917 0.000 3.004 4.697
Young & Reckless 2.9119 0.233 12.524 0.000 2.456 3.368
Young Fabulous & Broke 3.5486 0.608 5.833 0.000 2.356 4.741
Younique 3.3828 0.067 50.396 0.000 3.251 3.514
Yummie Tummie 3.808e-16 4.4e-16 0.865 0.387 -4.83e-16 1.24e-15
Yummie by Heather Thomson -1.952e-16 1.69e-16 -1.155 0.248 -5.26e-16 1.36e-16
Yves Saint Laurent 3.4004 0.107 31.817 0.000 3.191 3.610
ZARA 3.0698 0.065 47.123 0.000 2.942 3.197
ZENA 2.4370 0.609 4.005 0.000 1.244 3.630
Zac Posen 3.3552 0.608 5.515 0.000 2.163 4.548
Zales -6.675e-16 8.16e-16 -0.818 0.413 -2.27e-15 9.32e-16
Zana Di 2.1164 0.431 4.908 0.000 1.271 2.962
Zco. 1.052e-16 1.54e-16 0.683 0.495 -1.97e-16 4.07e-16
Zella 2.8561 0.195 14.633 0.000 2.474 3.239
Zen Group -1.618e-17 4.15e-17 -0.390 0.697 -9.75e-17 6.51e-17
Zenana Outfitters 1.8918 0.431 4.391 0.000 1.047 2.736
ZeroXposur 3.0920 0.431 7.174 0.000 2.247 3.937
Zion Rootswear 2.8440 0.353 8.067 0.000 2.153 3.535
Zobo 6.36e-18 7.12e-18 0.893 0.372 -7.6e-18 2.03e-17
Zojirushi 3.6052 0.617 5.844 0.000 2.396 4.814
Zoo Med 2.6462 0.358 7.383 0.000 1.944 3.349
Zoo York 2.2916 0.432 5.300 0.000 1.444 3.139
Zoot 2.3308 0.608 3.831 0.000 1.138 3.523
Zum Zum 2.7140 0.609 4.456 0.000 1.520 3.908
Zumba 2.9566 0.188 15.765 0.000 2.589 3.324
a'gaci 2.7581 0.218 12.673 0.000 2.331 3.185
a.n.a 2.6923 0.179 15.058 0.000 2.342 3.043
aden & anais 3.0146 0.139 21.691 0.000 2.742 3.287
adidas NEO 3.6692 0.609 6.022 0.000 2.475 4.864
adidas Originals 3.6312 0.095 38.086 0.000 3.444 3.818
adidas by Stella McCartney 3.3251 0.609 5.463 0.000 2.132 4.518
aerie 2.4820 0.156 15.940 0.000 2.177 2.787
b.o.c. 0 0 nan nan 0 0
bareMinerals 3.0675 0.097 31.644 0.000 2.878 3.258
beautyblender® 3.2415 0.142 22.833 0.000 2.963 3.520
bernie mev. 2.7294 0.609 4.479 0.000 1.535 3.924
bp 3.2230 0.608 5.298 0.000 2.031 4.416
bumGenius 3.4138 0.227 15.028 0.000 2.969 3.859
dELiA*s 2.8333 0.206 13.771 0.000 2.430 3.237
deborah lippmann 3.3803 0.609 5.552 0.000 2.187 4.574
dreambaby 2.6116 0.616 4.237 0.000 1.404 3.820
dressbarn 2.6282 0.172 15.267 0.000 2.291 2.966
e.l.f. 2.3880 0.078 30.746 0.000 2.236 2.540
elite HOCKEY 2.8374 0.627 4.522 0.000 1.608 4.067
eos 2.6414 0.193 13.719 0.000 2.264 3.019
ethika 2.9829 0.609 4.901 0.000 1.790 4.176
gDiapers 0 0 nan nan 0 0
grass 2.3889 0.608 3.927 0.000 1.196 3.581
iXCC 2.6189 0.608 4.305 0.000 1.427 3.811
kate spade new york 3.8151 0.117 32.724 0.000 3.587 4.044
kathy ireland 2.2571 0.352 6.405 0.000 1.566 2.948
l.e.i. 2.4468 0.179 13.675 0.000 2.096 2.797
lei 0 0 nan nan 0 0
lillebaby 4.4616 0.611 7.307 0.000 3.265 5.658
lululemon athletica 3.7806 0.075 50.523 0.000 3.634 3.927
mamaRoo 5.0109 0.667 7.510 0.000 3.703 6.319
mandee 2.6848 0.431 6.231 0.000 1.840 3.529
me too 0 0 nan nan 0 0
metrostyle 2.8659 0.684 4.187 0.000 1.524 4.207
monster high 2.4572 0.610 4.031 0.000 1.262 3.652
patagonia 3.6469 0.064 56.680 0.000 3.521 3.773
pet brands 2.8778 0.310 9.296 0.000 2.271 3.485
prAna 3.0152 0.274 11.008 0.000 2.478 3.552
rag & bone 3.5886 0.196 18.320 0.000 3.205 3.973
rue 2.4299 0.087 27.991 0.000 2.260 2.600
theBalm 2.9008 0.156 18.625 0.000 2.596 3.206
timi & leslie 0 0 nan nan 0 0
tokidoki 3.0671 0.144 21.267 0.000 2.784 3.350
totes ISOTONER 2.7095 0.610 4.439 0.000 1.513 3.906
vineyard vines 3.1836 0.067 47.573 0.000 3.052 3.315
==============================================================================
Omnibus: 8215.383 Durbin-Watson: 1.997
Prob(Omnibus): 0.000 Jarque-Bera (JB): 17523.598
Skew: 0.522 Prob(JB): 0.00
Kurtosis: 4.722 Cond. No. 5.58e+18
==============================================================================
Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The smallest eigenvalue is 1.58e-32. This might indicate that there are
strong multicollinearity problems or that the design matrix is singular.
RMSE because we have taken the log of our dependent variable as it wasn't nomrally distributed.Insights from OLS model:
from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(x_train, y_train)
y_pred_train = model.predict(x_train) # Predicting the value of train to compare with actual value
y_pred_test = model.predict(x_test) # Predicting the value of test data to compare with actual value
from sklearn.metrics import mean_squared_error
print("RMSLE value of Training Data is {a}".format(a=np.sqrt(mean_squared_error(y_train,y_pred_train))))
print("RMSLE value of Testing Data is {a}".format(a=np.sqrt(mean_squared_error(y_test,y_pred_test))))
RMSLE value of Training Data is 0.5981505023453584 RMSLE value of Testing Data is 3155202007.940081
Insights from Linear Model:
Problem:
Solution:
The methods used to do this are -
• Regularization • Boosting • Bagging
Overview:
from sklearn.linear_model import Ridge
# from sklearn.model_selection import GridSearchCV
# parameters = {"alpha":[0.01,0.1,0,1,10,100]}
# ridgeReg = Ridge(solver = "lsqr", fit_intercept=False)
# lr_reg = GridSearchCV(ridgeReg,param_grid =parameters,n_jobs=-1)
# lr_reg.fit(x_train, y_train)
# By applying GridsearchCV, we get to know that the best parameter for the model is given by
# lr_reg.best_params_
# Output- {'alpha': 0.1}
ridgeReg = Ridge(alpha=0.1,solver="lsqr",fit_intercept=False)
ridgeReg.fit(x_train,y_train)
y_pred = ridgeReg.predict(x_test)
y_pred_train = ridgeReg.predict(x_train)
from sklearn.metrics import r2_score,mean_squared_error
rmse_test_ridge = np.sqrt(mean_squared_error(y_test,y_pred))
rmse_train_ridge = np.sqrt(mean_squared_error(y_train,y_pred_train))
print("RMSLE value of Training Data is {a}".format(a=rmse_train_ridge))
print("RMSLE value of Testing Data is {a}".format(a=rmse_test_ridge))
RMSLE value of Training Data is 0.6375558834039196 RMSLE value of Testing Data is 0.6634873592375078
Checking the min and max values of Y_test corresponding to our RMSLE value 0.66
print('Min value of y_test is', min(y_test))
print('Max value of y_test is', max(y_test))
Min value of y_test is 1.0986122886681098 Max value of y_test is 7.498869733976931
Insight from Ridge Model:
As we can see that 0.66 is close to 1.09, we can conclude that our model is able to predict the value close to the actual value
Overview:
from sklearn.linear_model import SGDRegressor,Ridge
# parameters = {"alpha": [0.01,0.1,0,1,10,100],
# "l1_ratio": [0.4,0.5,0.6,0.7,0.8],
# }
#
# model_sgd = SGDRegressor(loss="squared_loss",penalty="l2",
# learning_rate="invscaling",max_iter=100,
# fit_intercept=False)
#
# model_SGD = GridSearchCV(model_sgd,param_grid=parameters)
# model_SGD.fit(x_train,y_train)
# By applying GridsearchCV, we get to know that the best parameter for the model is given by
# print(model_SGD.best_params_)
# Output - {'alpha': 0, 'l1_ratio': 0.4}
model_SGD = SGDRegressor(loss="squared_loss",penalty="l2",
learning_rate="invscaling",max_iter=100,
fit_intercept=False,alpha=0,l1_ratio=0.4)
model_SGD.fit(x_train,y_train)
y_pred_train_sgd = model_SGD.predict(x_train)
y_pred_test_sgd = model_SGD.predict(x_test)
from sklearn.metrics import r2_score,mean_squared_error
rmse_train = np.sqrt(mean_squared_error(y_train,y_pred_train_sgd))
rmse_test = np.sqrt(mean_squared_error(y_test,y_pred_test_sgd))
print("RMSLE value of Training Data is {a}".format(a=rmse_train))
print("RMSLE value of Testing Data is {a}".format(a=rmse_test))
RMSLE value of Training Data is 0.8160638826686536 RMSLE value of Testing Data is 0.8276055544003023
Insight from SGD model:
Checking for best Parameters using Grid search -
# from sklearn.model_selection import RandomizedSearchCV
# param_dist = {'n_estimators': [10,50,100,150,160,200,300],
# 'min_samples_split': [2,3,5,6],
# "max_depth":[None,10,20,40,60,80]
# }
# regr1 = RandomForestRegressor()
# n_iter_search = 50
# regr1 = RandomizedSearchCV(regr1, param_distributions=param_dist,
# n_iter=n_iter_search, cv=3,n_jobs=-1)
# regr1.fit(x_train, y_train)
# print(regr1.best_params_)
# output - {'n_estimators': 200, 'min_samples_split': 3,'max_depth=40'}
from sklearn.ensemble import RandomForestRegressor
model_rf = RandomForestRegressor(n_jobs=-1,min_samples_split=3,n_estimators=200,max_depth=40)
model_rf.fit(x_train,y_train)
y_pred_train_rf = model_rf.predict(x_train)
y_pred_test_rf = model_rf.predict(x_test)
from sklearn.metrics import mean_squared_error
rmse_train_rf = np.sqrt(mean_squared_error(y_train,y_pred_train_rf))
rmse_test_rf = np.sqrt(mean_squared_error(y_test,y_pred_test_rf))
print("RMSLE value of Training Data is {a}".format(a=rmse_train_rf))
print("RMSLE value of Testing Data is {a}".format(a=rmse_test_rf))
RMSLE value of Training Data is 0.6213232366107725 RMSLE value of Testing Data is 0.6461674146829152
Insight from Random Forest Model:
from prettytable import PrettyTable
x = PrettyTable()
x.field_names = ["Models", "HyperParameters used", "RMSLE"]
x.add_row(["Orinary Least Squares Regression", "---", '---'])
x.add_row(["Linear Regression", "---", 3155202007.940081])
x.add_row(["Ridge Regression", "alpha", 0.66])
x.add_row(["SGD Regressor","alpha, l1_ratio" , 0.82])
x.add_row(["Random Forest Regressor ","n_estimators, min_samples_split, max_depth" , 0.64])
print(x)
+----------------------------------+--------------------------------------------+-------------------+ | Models | HyperParameters used | RMSLE | +----------------------------------+--------------------------------------------+-------------------+ | Orinary Least Squares Regression | --- | --- | | Linear Regression | --- | 3155202007.940081 | | Ridge Regression | alpha | 0.66 | | SGD Regressor | alpha, l1_ratio | 0.82 | | Random Forest Regressor | n_estimators, min_samples_split, max_depth | 0.64 | +----------------------------------+--------------------------------------------+-------------------+
RMSLE in OLS model and the Linear model had a very huge valuefine tune it according to the best parameters provided by grid search mechanismbest and the lowest RMSLE value 0.64